基于扩展CA的土地利用时空演化模型研究
|
摘要
土地利用变化（LUCC）模型模拟是LUCC研究的重要而有效的方法，基于元胞自动机（CA）的LUCC模型构建则是LUCC模型模拟研究的重要课题。一个良好的模型，其数据与模型间应具有良好的融合度，然而，当前基于CA的LUCC建模研究忽略了土地利用数据与CA模型结构间的关系。基于此，本文结合CA模型的构成，有体系地将土地利用数据融入其中，对CA中的不足之处进行适当地扩展和改进，并据此建立LUCC-CA理论和应用模型。
首先，文章总结了LUCC驱动因子的相关研究，根据CA模型结构特点，将LUCC驱动因子分为内因和外因两大类，并据此对CA模型的基本构成进行扩展，在元胞和元胞空间两个层次分别引入内因和宏观控制因素的概念，分析改进后模型的动力机制和特点。
然后，将扩展CA模型的基本构成“土地化”，构建LUCC-CA理论模型，再结合Markov Chain、蚁群智能优化算法和Agent系统原理建立LUCC-CA应用模型。该模型采用Markov Chain预测土地利用数量变化情况作为CA的宏观控制因素，采用蚁群智能优化算法挖掘土地利用变化过程中土地利用单元的内因和外因组合而成的空间转换规则，最后结合Agent和扩展CA模拟土地利用的动态变化过程。
最后，以北京市昌平区为例进行实证研究。根据昌平区1988年和1998年的土地利用数据，应用LUCC-CA应用模型模拟得到2008年的土地利用数据，通过模拟结果与实际土地利用情况的对比，验证了模拟结果的准确性，再通过与其它模型模拟结果的对比，证明该模型在数量和空间两方面都具有较高的精度。
It is an important and effective methodto study land use/cover change (LUCC)bysimulatingmodels.Building LUCCmodel based on cellular automata (CA) is theimportant issues of LUCC simulation. A good model must integrate data andalgorithm well.However, the current CA-based LUCC modelsignore the relationshipbetween land use data with thestructure of CA model. Therefore, this paper proposedto improve CA model according to the land use data and influent factors of LUCC,and then established the theory and application LUCCmodel based on CA.
First of all, theresearches of LUCC driving factorswere summarized, accordingto the structure characteristics of CA model, the driving factors were divided into twocategories: internal factors andexternal factors. Then based on this research, the CAmodel was improved.At thelayer of cellular space, the macro control factor was takenin, and for each cell, the internal factors were added. And then, thedynamicmechanism and characteristicswere analyzed.
Then, the basic structures of extended CA were described by concepts of land tobuild LUCC-CA theory model.Combined with Markov Chain, ant colonyoptimization algorithm (ACO) and Agent,a LUCC-CA application model wasestabilished. The model adoptd the Markov Chain forecasting quantity of land usechanges, and took it as the macro control factorof extendedCA; usedACO miningspatial transformation rules;usesAgent and extended CA simulating land use dynamicchange process.
Finally, case study was carried out in Changping, a district of Beijing.A land usemap of the experimental areawas simulated for2008using the modelbased on landuse maps from1988and1998. By analyzing the simulation results, we showed thatthe model is useful for land use change simulation.Compared with the other models,the model is more appropriate for predicting both the quantity and spatial distributionof land use changein the study area. Therefore the modelproposed in this paper iscapable of simulating land use change.
首先，文章总结了LUCC驱动因子的相关研究，根据CA模型结构特点，将LUCC驱动因子分为内因和外因两大类，并据此对CA模型的基本构成进行扩展，在元胞和元胞空间两个层次分别引入内因和宏观控制因素的概念，分析改进后模型的动力机制和特点。
然后，将扩展CA模型的基本构成“土地化”，构建LUCC-CA理论模型，再结合Markov Chain、蚁群智能优化算法和Agent系统原理建立LUCC-CA应用模型。该模型采用Markov Chain预测土地利用数量变化情况作为CA的宏观控制因素，采用蚁群智能优化算法挖掘土地利用变化过程中土地利用单元的内因和外因组合而成的空间转换规则，最后结合Agent和扩展CA模拟土地利用的动态变化过程。
最后，以北京市昌平区为例进行实证研究。根据昌平区1988年和1998年的土地利用数据，应用LUCC-CA应用模型模拟得到2008年的土地利用数据，通过模拟结果与实际土地利用情况的对比，验证了模拟结果的准确性，再通过与其它模型模拟结果的对比，证明该模型在数量和空间两方面都具有较高的精度。
It is an important and effective methodto study land use/cover change (LUCC)bysimulatingmodels.Building LUCCmodel based on cellular automata (CA) is theimportant issues of LUCC simulation. A good model must integrate data andalgorithm well.However, the current CA-based LUCC modelsignore the relationshipbetween land use data with thestructure of CA model. Therefore, this paper proposedto improve CA model according to the land use data and influent factors of LUCC,and then established the theory and application LUCCmodel based on CA.
First of all, theresearches of LUCC driving factorswere summarized, accordingto the structure characteristics of CA model, the driving factors were divided into twocategories: internal factors andexternal factors. Then based on this research, the CAmodel was improved.At thelayer of cellular space, the macro control factor was takenin, and for each cell, the internal factors were added. And then, thedynamicmechanism and characteristicswere analyzed.
Then, the basic structures of extended CA were described by concepts of land tobuild LUCC-CA theory model.Combined with Markov Chain, ant colonyoptimization algorithm (ACO) and Agent,a LUCC-CA application model wasestabilished. The model adoptd the Markov Chain forecasting quantity of land usechanges, and took it as the macro control factorof extendedCA; usedACO miningspatial transformation rules;usesAgent and extended CA simulating land use dynamicchange process.
Finally, case study was carried out in Changping, a district of Beijing.A land usemap of the experimental areawas simulated for2008using the modelbased on landuse maps from1988and1998. By analyzing the simulation results, we showed thatthe model is useful for land use change simulation.Compared with the other models,the model is more appropriate for predicting both the quantity and spatial distributionof land use changein the study area. Therefore the modelproposed in this paper iscapable of simulating land use change.
引文
Ahmadizar F. A New Ant Colony Algorithm for Makespan Minimization inPermutation Flow Shops. COMPUTERS&INDUSTRIAL ENGINEERING,2012,63(2):355-361.
Ahmadizar F., Hosseini L. A Novel Ant Colony Algorithm for the Single-MachineTotal Weighted Tardiness Problem with Sequence Dependent Setup Times.INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCESYSTEMS,2011,4(4):456-466.
Ahn S. H., Lee S. G., Chung T. C. Modified Ant Colony System for Coloring Graphs.ICICS-PCM2003, VOLS1-3, PROCEEDINGS,2003:1849-1853.
Alber M. S., Kiskowski M. A., Glazier J. A., et al.On Cellular Automaton Approachesto Modeling Biological Cells. MATHEMATICAL SYSTEMS THEORY INBIOLOGY, COMMUNICATIONS, COMPUTATION, AND FINANCE,2003,134:1-39.
Alexandrov D., Kochetov Y. Behavior of the Ant Colony Algorithm for the SetCovering Problem. OPERATIONS RESEARCH PROCEEDINGS1999,2000:255-260.
Alonso-Sanz R. A Structurally Dynamic Cellular Automaton with Memory. CHAOSSOLITONS&FRACTALS,2007,32(4):1285-1295.
Alonso-Sanz R., Bull L. One-Dimensional Coupled Cellular Automata with Memory:Initial Investigations. JOURNAL OF CELLULAR AUTOMATA,2010,5(1-2):29-49.
Alonso-Sanz R., Martin M. A Structurally Dynamic Cellular Automaton withMemory in the Hexagonal Tessellation. CELLULAR AUTOMATA,PROCEEDINGS,2006,4173:30-40.
BAK P., CHEN K., CREUTZ M. Self-Organized Criticality in the Game of Life.NATURE,1989,342(6251):780-782.
Balseiro S. R., Loiseau I., Ramonet J. An Ant Colony Algorithm Hybridized withInsertion Heuristics for the Time Dependent Vehicle Routing Problem with TimeWindows. COMPUTERS&OPERATIONS RESEARCH,2011,38(6):954-966.
Bendjeghaba O., Ouahdi D. Redundancy Allocation Problem of Multi State PowerSystems Using Ant Colony System. INTERNATIONAL REVIEW OFELECTRICAL ENGINEERING-IREE,2010,5(4Part b):1715-1720.
Bessedik M., Laib R., Boulmerka A., et al. Ant Colony System for Graph ColoringProblem. International Conference on Computational Intelligence for Modelling,Control&Automation Jointly with International Conference on IntelligentAgents, Web Technologies&Internet Commerce, Vol1, Proceedings,2006:786-791.
BILSBORROW R. E., OGENDO HWOO. Population-Driven Changes in Land-Usein Developing-Countries. AMBIO,1992,21(1):37-45.
Blecic I., Borruso A., Cecchini A., et al. A Cellular Automata-Ready GisInfrastructure for Geosimulation and Territorial Analysis. COMPUTATIONALSCIENCE AND ITS APPLICATIONS-ICCSA2009, PT I,2009,5592:313-327.
Blum C. Beam-Aco-Hybridizing Ant Colony Optimization with Beam Search: AnApplication to Open Shop Scheduling. COMPUTERS&OPERATIONSRESEARCH,2005,32(6):1565-1591.
Boryczka U. Ants and Multiple Knapsack Problem.6TH INTERNATIONALCONFERENCE ON COMPUTER INFORMATION SYSTEMS ANDINDUSTRIAL MANAGEMENT APPLICATIONS, PROCEEDINGS,2007:149-154.
Bui T. N., Nguyen T. H., Patel C. M., et al.An Ant-Based Algorithm for ColoringGraphs. DISCRETE APPLIED MATHEMATICS,2008,156(2):190-200.
BYL J. Self-Reproduction in Small Cellular Automata. PHYSICA D,1989,34(1-2):295-299.
Cattaneo G., Durand B., Mauri G., et al. Introduction to the Special Issue On CellularAutomata. FUNDAMENTA INFORMATICAE,2002,52(1-3): I-II.
Chen F. X., Hu Y. M., Peng X. B., et al. Simulation of Land Use/Cover Change BasedOn the Clue-S Model.201018TH INTERNATIONAL CONFERENCE ONGEOINFORMATICS,2010.
Clarke K. C., Gaydos L. J. Loose-Coupling a Cellular Automaton Model and Gis:Long-Term Urban Growth Prediction for San Francisco andWashington/Baltimore. INTERNATIONAL JOURNAL OF GEOGRAPHICALINFORMATION SCIENCE,1998,12(7):699-714.
Couclelis Helen. Cellular Worlds: A Framework for Modelling Micro-MacroDynamics. Environment and Planning A,1985,17:585-96.
Couclelis Helen. A Theoretical Framework for Alternative Models of SpatialDecision and Behavior. Annals of the Association of American Geographers,1986,76:95-113.
Couclelis Helen. Cellular Dynamics: How Individual Decisions Lead to Global UrbanChange. European journal Of Operations Research,1986,30:344.
Demirel T., Yilmaz S. A New Solution Approach to Multi-Depot Vehicle RoutingProblem with Ant Colony Optimization. JOURNAL OF MULTIPLE-VALUEDLOGIC AND SOFT COMPUTING,2012,18(3-4):421-439.
Deng L. Y., Lin Y., Chen M. Hybrid Ant Colony Optimization for theResource-Constrained Project Scheduling Problem. JOURNAL OF SYSTEMSENGINEERING AND ELECTRONICS,2010,21(1):67-71.
DOBIS V., JOHNSON J. E. Land-Use Changes in the Fargo-Moorhead Fringe Area,1975-1980. NORTH DAKOTA FARM RESEARCH,1983,40(4):3-6.
Dorigo M., Gambardella L. M. Ant Colonies for the Travelling Salesman Problem.BIOSYSTEMS,1997,43(2):73-81.
Dowsland K. A., Thompson J. M. An Improved Ant Colony Optimisation Heuristicfor Graph Colouring. DISCRETE APPLIED MATHEMATICS,2008,156(3):313-324.
ERMENTROUT G. B., EDELSTEINKESHET L. Cellular Automata Approaches toBiological Modeling. JOURNAL OF THEORETICAL BIOLOGY,1993,160(1):97-133.
F. S. Chapin, S. F. Weiss. A Probabilistic Model of Residential Growth.Transportation Research,1968,2:375-390.
Fang Y. D., Wang F., Wang H. Research of Multi-Objective Optimization Study forJob Shop Scheduling Problem Based On Grey Ant ColonyAlgorithm.ADVANCED DESIGN TECHNOLOGY, PTS1-3,2011,308-310(Part1-3):1033-1036.
Fidanova S. Ant Colony Optimization for Multiple Knapsack Problem and ModelBias. NUMERICAL ANALYSIS AND ITS APPLICATIONS,2005,3401:280-287.
Fidanova S. Probabilistic Model of Ant Colony Optimization for Multiple KnapsackProblem. LARGE-SCALE SCIENTIFIC COMPUTING,2008,4818:545-552.
Gambardella L. M., Dorigo M. An Ant Colony System Hybridized with a New LocalSearch for the Sequential Ordering Problem. INFORMS JOURNAL ONCOMPUTING,2000,12(3):237-255.
Gao Y., Ge H. W. An Ant Colony Algorithm for Solving Set-CoveringProblems.DCABES2006PROCEEDINGS, VOLS1AND2,2006:467-469.
Gao Z. Q., Deng X. Z. Analysis On Spatial Features of Lucc Based On RemoteSensing and Gis in China. CHINESE GEOGRAPHICAL SCIENCE,2002,12(2):107-113.
Ghafouri M., Ghaderi N., Tabatabaei M., et al. Land Use Change and NutrientsSimulation for the Siah Darvishan Basin of the Anzali Wetland Region, Iran.BULLETIN OF ENVIRONMENTAL CONTAMINATION ANDTOXICOLOGY,2010,84(2):240-244.
Hamandawana H., Nkambwe M., Chanda R., et al. Population Driven Changes inLand Use in Zimbabwe's Gutu District of Masvingo Province: Some LessonsFrom Recent History. APPLIED GEOGRAPHY,2005,25(3):248-270.
Hu R. C., Ruan X. G. A Logistic Cellular Automaton for Simulating Tumor Growth.PROCEEDINGS OF THE4TH WORLD CONGRESS ON INTELLIGENTCONTROL AND AUTOMATION, VOLS1-4,2002:693-696.
Jenerette G. D., Potere D. Global Analysis and Simulation of Land-Use ChangeAssociated with Urbanization. LANDSCAPE ECOLOGY,2010,25(5):657-670.
JL.Casti, W. Stephen.A New Kind of Science. NATURE,2002,417(6887):381-382.
Kelarestaghi A., Jeloudar Z. J. Land Use/Cover Change and Driving Force Analysesin Parts of Northern Iran Using Rs and Gis Techniques. ARABIAN JOURNALOF GEOSCIENCES,2011,4(3-4):401-411.
Krausmann F., Haberl H., Schulz N. B., et al. Land-Use Change and Socio-EconomicMetabolism in Austria-Part I: Driving Forces of Land-Use Change:1950-1995.LAND USE POLICY,2003,20(1):1-20.
Kroc J., Vollmar R., Sipper M., et al. Special Issue On Modelling of ComplexSystems by Cellular Automata: Guest Editors' Introduction. JOURNAL OFCELLULAR AUTOMATA,2006,1(2):87-89.
Kutrib M., Vollmar R., Worsch T. Introduction to the Special Issue On CellularAutomata. PARALLEL COMPUTING,1997,23(11):1567-1576.
LANGTON C. G. Self-Reproduction in Cellular Automata. PHYSICA D,1984,10(1-2):135-144.
Li D., Li X., Liu X. P., et al. Gpu-Ca Model for Large-Scale Land-Use ChangeSimulation. CHINESE SCIENCE BULLETIN,2012,57(19):2442-2452.
Li X., Yeh AGO. Modelling Sustainable Urban Development by the Integration ofConstrained Cellular Automata and Gis. INTERNATIONAL JOURNAL OFGEOGRAPHICAL INFORMATION SCIENCE,2000,14(2):131-152.
Liang Y. C., Smith A. E. An Ant Colony Optimization Algorithm for the RedundancyAllocation Problem (Rap). IEEE TRANSACTIONS ON RELIABILITY,2004,53(3):417-423.
Lins I. D., Droguett E. L. Multiobjective Optimization of Redundancy Allocation inSystems with Imperfect Repairs Via Ant Colony and Discrete Event Simulation.SAFETY, RELIABILITY AND RISK ANALYSIS: THEORY, METHODSAND APPLICATIONS, VOLS1-4,2009:541-550.
Liu X. P., Li X., Shi X., et al. Simulating Land-Use Dynamics Under PlanningPolicies by Integrating Artificial Immune Systems with Cellular Automata.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATIONSCIENCE,2010,24(5):783-802.
Liu X. P., Li X., Yeh AGO, et al. Discovery of Transition Rules for GeographicalCellular Automata by Using Ant Colony Optimization. SCIENCE IN CHINASERIES D-EARTH SCIENCES,2007,50(10):1578-1588.
Lo S. C., Hsu C. H. Cellular Automata Simulation for Mixed Manual and AutomatedControl Traffic. MATHEMATICAL AND COMPUTER MODELLING,2010,51(7-8):1000-1007.
Lu M. S., Romanowski R. Multi-Contextual Ant Colony Optimization of IntermediateDynamic Job Shop Problems. INTERNATIONAL JOURNAL OF ADVANCEDMANUFACTURING TECHNOLOGY,2012,60(5-8):667-681.
Luebeck E. G., DeGunst MCM. A Stereological Method for the Analysis of CellularLesions in Tissue Sections Using Three-Dimensional Cellular Automata.MATHEMATICAL AND COMPUTER MODELLING,2001,33(12-13):1387-1400.
Luo P., Cao X., Li H. G., et al. Dynamic Simulation of Land Use Change in ShenzhenCity Based On Markov-Logistic-Ca Models.201018TH INTERNATIONALCONFERENCE ON GEOINFORMATICS,2010.
M. Gardner. Mathematical Games-the Fantastic Combinations of John Conway’SNew Solitaire Game “Life”. Scientific American,1970,(223):120-123.
Ma Y. H., Fan S. Y., Zhou L. H., et al. The Temporal Change of Driving FactorsDuring the Course of Land Desertification in Arid Region of North China: TheCase of Minqin County. ENVIRONMENTAL GEOLOGY,2007,51(6):999-1008.
Manfrin M., Birattari M., Stutzle T., et al. Parallel Ant Colony Optimization for theTraveling Salesman Problem. ANT COLONY OPTIMIZATION AND SWARMINTELLIGENCE, PROCEEDINGS,2006,4150:224-234.
MCNAMARA G. R., ZANETTI G. Use of the Boltzmann-Equation to SimulateLattice-Gas Automata. PHYSICAL REVIEW LETTERS,1988,61(20):2332-2335.
Merkle D., Middendorf M. An Ant Algorithm with a New Pheromone EvaluationRule for Total Tardiness Problems.REAL-WORLD APPLICATIONS OFEVOLUTIONARY COMPUTING, PROCEEDINGS,2000,1803:287-296.
Michael Batty, Yichun Xie. Modelling Inside Gis: Part1.Model Structures,Exploratory Spatial Data Analysis and Aggregation. International journal ofgeographical Information systems,1994,8(3):291-307.
Ming Y., Chen D. W., Huang R. H., et al. A Dynamic Analysis of Regional Land Useand Cover Changing (Lucc) by Remote Sensing and Gis-Taking Fuzhou Area asExample. ADVANCED ENVIRONMENTAL, CHEMICAL, ANDBIOLOGICAL SENSING TECHNOLOGIES VII,2010,7673(76730J).
Montemanni R., Smith D. H., Gambardella L. M. Ant Colony Systems for LargeSequential Ordering Problems.2007IEEE Swarm Intelligence Symposium,2007:60-67.
Mora JCST.Reversible Linear Cellular Automata and Block Permutations. REVISTAMEXICANA DE FISICA,2000,46(1):14-23.
Morita K. Simple Universal One-Dimensional Reversible Cellular Automata.JOURNAL OF CELLULAR AUTOMATA,2007,2(2):159-165.
Morita K. Reversible Computing and Cellular Automata-A Survey. THEORETICALCOMPUTER SCIENCE,2008,395(1):101-131.
Morita K. Computation in Reversible Cellular Automata. INTERNATIONALJOURNAL OF GENERAL SYSTEMS,2012,41(6SI):569-581.
Morita K. Computation in Reversible Cellular Automata. INTERNATIONALJOURNAL OF GENERAL SYSTEMS,2012,41(6SI):569-581.
Morita K., Imai K. Logical Universality and Self-Reproduction in Reversible CellularAutomata. EVOLVABLE SYSTEMS: FROM BIOLOGY TO HARDWARE,1997,1259:152-166.
Mouhoub M., Wang Z. J. Improving the Ant Colony Optimization Algorithm for theQuadratic Assignment Problem.2008IEEE CONGRESS ONEVOLUTIONARY COMPUTATION, VOLS1-8,2008:250-257.
MUNTON RJC, LOWE P., MARSDEN T. Forces Driving Land-Use Change-TheSocial, Economic and Political Context. LAND USE CHANGE: THE CAUSESAND CONSEQUENCES,1992,27:15-27.
Nehaniv C. L. Self-Reproduction in Asynchronous Cellular Automata.2002NASA/DOD CONFERENCE ON EVOLABLE HARDWARE,PROCEEDINGS,2002:201-209.
P. Norman H., W. Stephen.Two-Dimensional Cellular Automata. Journal ofStatistical Physics,1984,38(5/6):901-946.
Pan Y., Roth A., Yu Z. R., et al. The Impact of Variation in Scale On the Behavior ofa Cellular Automata Used for Land Use Change Modeling. COMPUTERSENVIRONMENT AND URBAN SYSTEMS,2010,34(5):400-408.
Panahi N., Tavakkoli-Moghaddam R. Solving a Multi-Objective Open ShopScheduling Problem by a Novel Hybrid Ant Colony Optimization. EXPERTSYSTEMS WITH APPLICATIONS,2011,38(3):2817-2822.
PANDEE P., CHAPMAN E. C. Recent Changes in Land-Use and Land Cover atHuai-Thung-Choa. MOUNTAIN RESEARCH AND DEVELOPMENT,1983,3(4):346-352.
Parpinelli R. S., Lopes H. S., Freitas A. A. Data Mining with an Ant ColonyOptimization Algorithm. IEEE TRANSACTIONS ON EVOLUTIONARYCOMPUTATION,2002,6(4):321-332.
PC Stern, OR Young, D Druckman. Global Environmental Change: Understandingthe Human Dimensions.1992.
Pintea C. M., Chira C., Dumitrescu D., et al. Sensitive Ants in Solving theGeneralized Vehicle Routing Problem. INTERNATIONAL JOURNAL OFCOMPUTERS COMMUNICATIONS&CONTROL,2011,6(4):734-741.
Plumettaz M., Schindl D., Zufferey N. Ant Local Search and its Efficient Adaptationto Graph Colouring. JOURNAL OF THE OPERATIONAL RESEARCHSOCIETY,2010,61(5):819-826.
R White, G Engelen. The Use of Constrained Cellular Automata for High-ResolutionModelling of Urban Land-Use Dynamics. Environment and Planning B:Planning and Design,1997,(24):323-343.
Randall M. Heuristics for Ant Colony Optimisation Using the GeneralisedAssignment Problem. CEC2004: PROCEEDINGS OF THE2004CONGRESSON EVOLUTIONARY COMPUTATION, VOLS1AND2,2004:1916-1923.
Ren Z. G., Feng Z. R., Ke L. J., et al. A Fast and Efficient Ant Colony OptimizationApproach for the Set Covering Problem.2008IEEE CONGRESS ONEVOLUTIONARY COMPUTATION, VOLS1-8,2008:1839-1844.
Sang L. L., Zhang C., Yang J. Y., et al. Simulation of Land Use Spatial Pattern ofTowns and Villages Based On Ca-Markov Model. MATHEMATICAL ANDCOMPUTER MODELLING,2011,54(3-4):938-943.
Saremi H. Q., Abedin B., Kermani A. M. Website Structure Improvement: QuadraticAssignment Problem Approach and Ant Colony Meta-Heuristic Technique.APPLIED MATHEMATICS AND COMPUTATION,2008,195(1):285-298.
See P. C., Wong K. Y., Komarudin. Assessment Guidelines for Ant ColonyAlgorithms When Solving Quadratic Assignment Problems.COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING, VOL2:ADVANCES IN COMPUTATIONAL SCIENCE,2009,1148:865-867.
Serra P., Pons X., Sauri D. Land-Cover and Land-Use Change in a MediterraneanLandscape: A Spatial Analysis of Driving Forces Integrating Biophysical andHuman Factors. APPLIED GEOGRAPHY,2008,28(3):189-209.
Seybold P. G., Kier L. B., Cheng C. K. Modeling Dynamic Chemical Systems UsingCellular Automata. ABSTRACTS OF PAPERS OF THE AMERICANCHEMICAL SOCIETY,1999,217(Part1): U662-U662.
Silva RMD, Ramalho G. L. Ant System for the Set Covering Problem.2001IEEEINTERNATIONAL CONFERENCE ON SYSTEMS, MAN, ANDCYBERNETICS, VOLS1-5: E-SYSTEMS AND E-MAN FORCYBERNETICS IN CYBERSPACE,2002:3129-3133.
Socha K., Sampels M., Manfrin M. Ant Algorithms for the University CourseTimetabling Problem with Regard to the State-of-the-Art. APPLICATIONS OFEVOLUTIONARY COMPUTING,2003,2611:334-345.
Tsutsui S. Parallel Ant Colony Optimization for the Quadratic Assignment Problemswith Symmetric Multi Processing. ANT COLONY OPTIMIZATION ANDSWARM INTELLIGENCE, PROCEEDINGS,2008,5217:363-370.
Waldo Tobler. A Computer Movie Simulating Urban Growth in the Detroit Region.Economic Geography,1970,46(2):234-240.
Walfram Stephen. Universality and Complexity in Cellular Automata. Physica D,1984,10:1-2.
WH Form. The Place of Social Structure in the Determination of Land Use. SocialForces,1954,32:317-323.
Wolfram Stephen.Cellular Automata as Models of Complexity. Nature,1984,311(4):419-424.
Wolfram Stephen.Twenty Problems in the Theory of Cellular Automata. PhysicaScripta,1985,(9):170-183.
Wong K. Y., See P. C. A Hybrid Ant Colony Optimization Algorithm for SolvingFacility Layout Problems Formulated as Quadratic Assignment Problems.ENGINEERING COMPUTATIONS,2010,27(1-2):117-128.
Wu Y. Z., Peng Y., Zhang X. L., et al. Development Priority Zoning (Dpz)-LedScenario Simulation for Regional Land Use Change: The Case of SuichangCounty, China. HABITAT INTERNATIONAL,2012,36(2):268-277.
Xing L. N., Chen Y. W., Wang P., et al. Knowledge-Based Ant Colony Optimizationfor Flexible Job Shop Scheduling Problems. APPLIED SOFT COMPUTING,2010,10(3):888-896.
Yagmahan B., Yenisey M. M. A Multi-Objective Ant Colony System Algorithm forFlow Shop Scheduling Problem. EXPERT SYSTEMS WITH APPLICATIONS,2010,37(2):1361-1368.
Yang X., Zheng X. Q., Lv L. N.A Spatiotemporal Model of Land Use Change BasedOn Ant Colony Optimization, Markov Chain and CellularAutomata.ECOLOGICAL MODELLING,2012,233:11-19.
Yao B. Z., Yang C. Y., Hu J. J., et al. An Improved Ant Colony Optimization forFlexible Job Shop Scheduling Problems. ADVANCED SCIENCE LETTERS,2011,4(6-7):2127-2131.
Yeh AGO, Li X. Simulation of Compact Cities Based On the Integration of CellularAutomata and Gis. THEORETICAL AND PRACTICAL ISSUES ONCELLULAR AUTOMATA,2001:170-178.
Zak M. R., Cabido M., Caceres D., et al. What Drives Accelerated Land CoverChange in Central Argentina? Synergistic Consequences of Climatic,Socioeconomic, and Technological Factors. ENVIRONMENTALMANAGEMENT,2008,42(2):181-189.
Zamyatin A., Cabral P. Advanced Spatial Metrics Analysis in Cellular AutomataLand Use and Cover Change Modeling. DYNA-COLOMBIA,2011,78(170):42-50.
Zhan J. Y., Shi N. N., He S. J., et al. Factors and Mechanism Driving the Land-UseConversion in Jiangxi Province. JOURNAL OF GEOGRAPHICAL SCIENCES,2010,20(4):525-539.
Zhang H. Ant Colony Optimization for Multimode Resource-Constrained ProjectScheduling. JOURNAL OF MANAGEMENT IN ENGINEERING,2012,28(2):150-159.
Zheng X. Q., Zhao L., Xiang W. N., et al. A Coupled Model for SimulatingSpatio-Temporal Dynamics of Land-Use Change: A Case Study in Changqing,Jinan, China. LANDSCAPE AND URBAN PLANNING,2012,106(1):51-61.
Zhou H., Li Z. D., Wu X. J. Scheduling Unrelated Parallel Machine to MinimizeTotal Weighted Tardiness Using Ant Colony Optimization.2007IEEEINTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS,VOLS1-6,2007:132-136.
邴广路,石培基,居玲华.生态脆弱区土地利用变化及驱动因素分析——以张掖市为例.干旱区研究,2010,(2):169-175.
曹晶晶,吴静,李纯斌.基于马尔柯夫模型的酒泉市肃州区LUCC趋势预测.国土与自然资源研究,2008,(1):45-47.
曹中初,孙苏南. CA与GIS的集成用于地理信息的动态模拟和建模.测绘通报,1999,(11):7-9.
陈百明.试论中国土地利用和土地覆被变化及其人类驱动力研究.自然资源,1997,31-36.
陈改英,郭达志.北京市昌平区土地利用/覆盖变化的遥感监测与热环境响应分析.测绘通报,2011,(11):37-40.
陈红顺,夏斌.快速城市化地区土地利用变化及驱动因素分析——以广东省东莞市为例.水土保持通报,2012,(1):54-59.
陈文波,赵小汎.新建县土地利用变化预测与驱动因素分析.江西农业大学学报,2006,(4):615-619.
崔振洋,李晓亮.基于RS与GIS的山西省土地利用动态变化分析.中国农学通报,2006,(6):418-420.
戴芹,刘建波.基于蚁群规则挖掘算法的多特征遥感数据分类.地理研究,2009,(4):1136-1145.
戴旭.利用地理信息系统方法编制腾冲土地类型图.陕西师大学报(自然科学版),1988,(2):70-78.
丁娅萍,张学霞,陈仲新.植被盖度与地表亮温关系的遥感监测分析——以北京市昌平区为例.中国农业资源与区划,2011,(5):8-15.
董杰,杨春德,周秀慧等.山东省土地利用结构时空变化及其驱动机制分析.水土保持研究,2006,(4):206-210.
杜自强,王建,陈正华等.基于RS和GIS的区域土地利用动态变化及演变趋势分析.干旱区资源与环境,2007,(1):115-119.
伏洋,肖建设,校瑞香等.基于RS和GIS的西宁市LUCC分析及模拟预测.农业工程学报,2009,(7):211-218+2.
甘红,刘彦随,王大伟.土地利用类型转换的人文驱动因子模拟分析.资源科学,2004,(2):88-93.
高小永.基于多目标蚁群算法的土地利用优化配置：[博士学位论文].武汉大学,2010.
葛全胜,赵名茶,郑景云.20世纪中国土地利用变化研究.地理学报,2000,(6):698-706.
龚文峰,袁力,范文义.基于CA-Markov的哈尔滨市土地利用变化及预测.农业工程学报,2012,(14):216-222.
郭丽英,刘彦随,任志远.生态脆弱区土地利用格局变化及其驱动机制分析——以陕西榆林市为例.资源科学,2005,(2):128-133.
韩超峰,陈仲新. LUCC驱动力模型研究综述.中国农学通报,2008,(4):365-368.
郝春燕,王艳,郝从容.娄烦县岚河流域LUCC景观格局分析.科技导报,2008,(3):65-67.
何丹,金凤君,周璟.基于Logistic-CA-Markov的土地利用景观格局变化——以京津冀都市圈为例.地理科学,2011,(8):903-910.
洪伟,杨武年.基于遥感和GIS的南充市顺庆区LUCC动态变化分析.测绘,2010,(3):139-143.
侯西勇,常斌,于信芳.基于CA-Markov的河西走廊土地利用变化研究.农业工程学报,2004,(5):286-291.
胡贤辉,张霞,杨钢桥.湖北省土地利用结构变化及其驱动机制分析.长江流域资源与环境,2008,(1):43-46.
惠林虎,屈百达,徐保国等. CA与GIS系统结合在城市扩展中的研究.贵州师范大学学报(自然科学版),2011,(1):68-73.
接栋正,庄剑顺.快速城市化地区土地利用变化的人文因素分析——以泉州市为例.亚热带资源与环境学报,2008,(2):89-94.
解修平,周杰,张海龙等.基于景观生态和马尔可夫过程的西安地区土地利用变化分析.资源科学,2006,(6):175-181.
柯新利,边馥苓.基于C5.0决策树算法的元胞自动机土地利用变化模拟模型.长江流域资源与环境,2010,(4):403-408.
孔祥斌,张凤荣,齐伟.基于农户利用目标的集约化农区土地利用驱动机制分析——以河北省曲周县为例.地理科学进展,2004,(3):50-57.
黎巍,曾和平,陈桂荣等.基于ASTER影像数据源的龙川江LUCC景观格局特点分析.贵州农业科学,2009,(8):162-165.
黎夏,叶嘉安.基于神经网络的单元自动机CA及真实和忧化的城市模拟.地理学报,2002,(2):159-166.
黎夏,叶嘉安.基于神经网络的元胞自动机及模拟复杂土地利用系统.地理研究,2005,(1):19-27.
李海燕,蔡银莺.武汉市土地利用动态变化及其驱动因素分析.国土与自然资源研究,2011,(1):11-13.
李平,李秀彬,刘学军.我国现阶段土地利用变化驱动力的宏观分析.地理研究,2001,(2):129-138.
李森,杨萍,王跃等.阿里高原土地沙漠化发展演变与驱动因素分析.中国沙漠,2005,(6):46-52.
李天顺,焦彩霞,张红等.西安市土地利用的时空变化分析.干旱区资源与环境,2003,(4):29-33.
李香云,杨君,王立新.干旱区土地荒漠化的人为驱动作用分析——以塔里木河流域为例.资源科学,2004,(5):30-37.
李小文,曹春香,常超一.地理学第一定律与时空邻近度的提出.自然杂志,2007,(2):69-71.
梁长秀.基于RS和GIS的北京市土地利用/覆被变化研究：[博士学位论文].北京林业大学,2009.
蔺卿,罗格平,陈曦. LUCC驱动力模型研究综述.地理科学进展,2005,(5):81-89.
凌成星,鞠洪波,张怀清等.基于CA-MARKOV模型的北京湿地资源变化预测研究.中国农学通报,2012,(20):262-269.
刘坚,黄贤金,翟文侠等.快速城市化背景下江苏省土地利用程度变化及其人文驱动因素分析.四川农业大学学报,2005,(2):223-227.
刘静玉,钱乐祥,苗长虹等.基于RS与GIS技术的豫西山地典型区域LUCC动态监测研究.河南大学学报(自然科学版),2005,(2):46-51.
刘培学,张建新,王艳等.县域土地利用动态变化及驱动因素差异分析——以江苏省贾汪区、吴江市为例.江西农业学报,2010,(2):159-164.
刘世梁,崔保山,杨志峰等.道路网络对澜沧江流域典型区土地利用变化的驱动分析.环境科学学报,2006,(1):162-167.
刘小平,黎夏.从高维特征空间中获取元胞自动机的非线性转换规则.地理学报,2006,(6):663-672.
刘小平,黎夏,艾彬等.基于多智能体的土地利用模拟与规划模型.地理学报,2006,(10):1101-1112.
刘小平,黎夏,彭晓鹃.“生态位”元胞自动机在土地可持续规划模型中的应用.生态学报,2007,(6):2391-2402.
刘小平,黎夏,叶嘉安等.利用蚁群智能挖掘地理元胞自动机的转换规则.中国科学(D辑:地球科学),2007,(6):824-834.
刘新卫,陈百明,史学正.国内LUCC研究进展综述.土壤,2004,(2):132-135+140.
罗格平,周成虎,陈曦.干旱区绿洲土地利用与覆被变化过程.地理学报,2003,(1):63-72.
罗平,李满春,雷元新等.基于经典地理过程分析概念的CA模型扩展.武汉大学学报(工学版),2004,(5):85-89+119.
马红花.多时相矿区土地利用/覆被变化及驱动因素分析：[硕士学位论文].河南理工大学,2011.
马利邦,牛叔文,杨丽娜.基于Markov和CLUE-S模型的敦煌市土地利用/覆盖格局情景模拟.生态学杂志,2012,(7):1823-1831.
蒙吉军,严汾.大城市边缘区LUCC驱动力的时空分异研究——以北京昌平区为例.北京大学学报(自然科学版),2009,(2):311-318.
聂承静,陈文波,李海峰等.沿海地区土地利用变化及驱动机制研究——以大连市为例.水土保持研究,2009,(4):259-263.
宁敢.基于群体智能及CA的城市土地利用时空动力学模型构建与应用：[硕士学位论文].中国地质大学（北京）,2011.
乔伟峰,孙在宏,邵繁荣等.高度城市化区域土地利用结构演化与驱动因素分析——以苏州市为例.长江流域资源与环境,2012,(5):557-564.
邱炳文,陈崇成.基于多目标决策和CA模型的土地利用变化预测模型及其应用.地理学报,2008,(2):165-174.
邵景安,李阳兵,魏朝富等.大洪河水库库区土地利用变化及其社会经济驱动因素.生态学杂志,2007,(6):898-903.
施亚飞,李小春.基于SLEUTH模型的长江口北岸土地利用演化模拟研究.现代测绘,2010,(3):6-8.
史洪超.土地利用/覆被变化(LUCC)研究进展综述.安徽农业科学,2012,(26):13107-13110+13125.
史培军,宫鹏.土地利用/覆被变化研究的方法与实践.北京:科学出版社,2000.
苏高华,陈方正,郑新奇.基于系统论的农村居民点用地演变驱动机制研究——以北京市昌平区为例.水土保持研究,2009,(4):117-120+126.
苏高华,陈方正,郑新奇等.北京市昌平区农村居民点用地演变机理研究.安徽农业科学,2009,(19):9075-9077+9083.
孙玉杰,徐惠,黎德松等.高淳县土地利用变化驱动因素分析与预测.山东农业大学学报(自然科学版),2011,(4):527-532.
覃开贤,胡宝清,韩世静.基于BP-ANN-CA的都安喀斯特土地系统演变模拟.地球与环境,2012,(3):423-429.
谭少华,倪绍祥,赵万民.江苏省土地利用变化及其驱动机理研究.地理与地理信息科学,2006,(5):50-54.
陶海燕,黎夏,陈晓翔等.基于多智能体的地理空间分异现象模拟——以城市居住空间演变为例.地理学报,2007,(6):579-588.
陶嘉,黎夏,刘小平等.分析学习智能元胞自动机及优化的城市模拟.地理与地理信息科学,2007,(5):43-47+51.
田义超,任志远.基于CLUE-S模型的黄土台塬区土地利用变化模拟——以陕西省咸阳台塬区为例.地理科学进展,2012,(9):1224-1234.
汪小钦,王钦敏,励惠国等.黄河三角洲土地利用/覆盖变化的微地貌区域分异.地理科学,2008,(4):513-517.
王彬俨,程金花,张洪江等.北京昌平区农地土壤大孔隙特征.水土保持学报,2012,(3):189-193.
王汉花,刘艳芳.基于生态位与约束CA的土地资源优化配置模型研究——以武汉市黄陂区为例.中国人口.资源与环境,2008,(2):97-102.
王汉花,刘艳芳.基于MOP-CA整合模型的土地利用优化研究.武汉大学学报(信息科学版),2009,(2):174-177+247.
王行风,汪云甲.采煤驱动下的矿区土地利用演化模拟和预测.金属矿山,2011,(1):132-135.
王介勇,刘彦随.三亚市土地利用/覆被变化及其驱动机制研究.自然资源学报,2009,(8):1458-1466.
王磊.土地利用变化的多尺度模拟研究：[博士学位论文].北京大学,2011.
王磊,王羊,蔡运龙.土地利用变化的ANN-CA模拟研究——以西南喀斯特地区猫跳河流域为例.北京大学学报(自然科学版),2012,(1):116-122.
王丽艳,张学儒,张华等. CLUE-S模型原理与结构及其应用进展.地理与地理信息科学,2010,(3):73-77.
王琳.土地利用变化CA模拟的尺度敏感性研究：[硕士学位论文].太原理工大学,2011.
王群,王万茂.中国省区土地利用差异驱动因素实证研究.中国土地科学,2005,(6):21-25.
王淑琴.土地利用变化多尺度模拟及其精度研究：[博士学位论文].北京：中国地质大学（北京）,2011.
王巍,刘贤赵,杨文.近20年来烟台沿海地区土地利用变化研究.干旱区地理,2007,(6):988-994.
王玉华,刘彦随,周应华.沿海发达地区土地利用转换的人文驱动机制研究——以温州市为例.地理科学进展,2004,(2):43-50.
夏斌,陈健坤,李军等.丘陵红壤区土地利用变化及人文驱动因素分析——以井冈山市为例.科技管理研究,2010,(15):63-67+44.
肖明,吴季秋,陈秋波等.基于CA-Markov模型的昌化江流域土地利用动态变化.农业工程学报,2012,(10):231-238.
肖杨,王红瑞,伍玉容.公路工程对土地利用/土地覆被变化的驱动效应分析.交通环保,2002,(1):10-12.
熊婷,欧名豪.扬州市土地利用动态变化及其驱动因素分析.国土资源科技管理,2007,(4):41-46.
徐昔保,杨桂山,张建明.基于神经网络CA的兰州城市土地利用变化情景模拟.地理与地理信息科学,2008,(6):80-83+113.
许宏森,梁淑云.昌平区产业经济可持续发展对策.科技潮,2012,61.
杨斌.基于地统计学的土地利用空间数据挖掘方法研究：[硕士学位论文].中国地质大学（北京）,2009.
杨东,郑凤娟,窦慧亮等.干旱内陆河流域土地利用变化的人文驱动因素探究——以甘肃省酒泉市为例.水土保持研究,2010,(2):218-222.
杨桄,刘湘南,王平等.松嫩沙地土地利用变化的社会经济驱动机制分析——以吉林省前郭县为例.东北师大学报(自然科学版),2002,(1):111-116.
杨国清,刘耀林,吴志峰.基于CA-Markov模型的土地利用格局变化研究.武汉大学学报(信息科学版),2007,(5):414-418.
杨国清,钟敏,刘欢等.广州市土地利用变化及其驱动力研究.安徽农业科学,2012,(2):1200-1202.
杨亮洁,薛重生.基于地理实体的城市元胞自动机模型研究.北京理工大学学报(社会科学版),2009,(1):80-84.
杨青生,黎夏.多智能体与元胞自动机结合及城市用地扩张模拟.地理科学,2007,(4):542-548.
杨青生,黎夏.基于遗传算法自动获取CA模型的参数——以东莞市城市发展模拟为例.地理研究,2007,(2):229-237.
杨青生,黎夏,刘小平.基于Agent和CA的城市土地利用变化研究.地球信息科学,2005,(2):
姚成胜,朱鹤健,吕晞等.土地利用变化的社会经济驱动因子对福建生态系统服务价值的影响.自然资源学报,2009,(2):225-233.
叶康保,胡石元.基于地理空间实体的矢量元胞自动机研究.科技资讯,2006,(16):165-167.
于开芹.泰安市区土地利用变化及生态效应研究：[博士学位论文].山东农业大学,2009.
臧淑英,王凌云,那晓东.基于经济驱动因子的土地利用结构变化区域差异分析——以哈大齐工业走廊为例.地理研究,2011,(2):224-232.
张飞虎,彭慧.北京市土地利用变化及驱动机制研究.兰州学刊,2008,(4):69-71+137.
张峰.北京市郊区可持续景观生态规划及优化生态生产范式研究——以昌平区为例：[博士学位论文].中国科学院研究生院（植物研究所）,2004.
张峰,王桥,王文杰等.内蒙古森林草原交错带土地利用变化的区域差异特征分析.资源科学,2006,(3):52-58.
张贵军,张蓬涛,李宏伟等.河北省土地利用变化及其驱动机制研究.河北农业大学学报,2008,(1):93-98.
张惠远,王仰麟.土地资源利用的景观生态优化方法.地学前缘,2000,112-120.
张丽琴.城市地区土地利用变化人类活动驱动机制研究：[博士学位论文].中国地质大学,2005.
张丽琴,姚书振,李江风.我国城市土地利用演进驱动机制分析.科技进步与对策,2003,(15):93-95.
张维存.蚁群粒子群混合优化算法及应用：[博士学位论文].天津大学,2007.
张岩,李京,陈云浩.利用SLEUTH模型进行北京城市扩展模拟研究.遥感信息,2007,(2):50-54+104.
张叶,江晓波,邱枫. LUCC模型研究综述.资源开发与市场,2006,(4):311-314.
章波,濮励杰,黄贤金等.城市区域土地利用变化及驱动机制研究——以长江三角洲地区为例.长江流域资源与环境,2005,(1):28-33.
章予舒,王立新,张红旗等.疏勒河流域土地利用变化驱动因素分析——以安西县为例.地理科学进展,2003,(3):170-178.
赵冠伟,陈颖彪,陈健飞等. CA-Markov模型的空间尺度敏感性研究.地理科学,2011,(8):897-902.
赵晓丽,易玲,张增祥等.山西省土地覆盖时空变化特征及其驱动因子分析.地球信息科学学报,2010,(1):95-102.
郑德本,夏斌,赵冠伟.基于逻辑回归CA的土地利用变化模拟——以广州市花都区为例.安徽农业科学,2010,(11):5791-5793.
周成虎.地理元胞自动机研究.北京:科学出版社,1999.
朱飞鸽,胡瀚文,沈兴华等.基于SLEUTH模型的上海城市增长预测.生态学杂志,2011,(9):2107-2114.
左洪浩.蚁群优化算法及其应用研究：[博士学位论文].中国科学技术大学,2006.
Ahmadizar F., Hosseini L. A Novel Ant Colony Algorithm for the Single-MachineTotal Weighted Tardiness Problem with Sequence Dependent Setup Times.INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCESYSTEMS,2011,4(4):456-466.
Ahn S. H., Lee S. G., Chung T. C. Modified Ant Colony System for Coloring Graphs.ICICS-PCM2003, VOLS1-3, PROCEEDINGS,2003:1849-1853.
Alber M. S., Kiskowski M. A., Glazier J. A., et al.On Cellular Automaton Approachesto Modeling Biological Cells. MATHEMATICAL SYSTEMS THEORY INBIOLOGY, COMMUNICATIONS, COMPUTATION, AND FINANCE,2003,134:1-39.
Alexandrov D., Kochetov Y. Behavior of the Ant Colony Algorithm for the SetCovering Problem. OPERATIONS RESEARCH PROCEEDINGS1999,2000:255-260.
Alonso-Sanz R. A Structurally Dynamic Cellular Automaton with Memory. CHAOSSOLITONS&FRACTALS,2007,32(4):1285-1295.
Alonso-Sanz R., Bull L. One-Dimensional Coupled Cellular Automata with Memory:Initial Investigations. JOURNAL OF CELLULAR AUTOMATA,2010,5(1-2):29-49.
Alonso-Sanz R., Martin M. A Structurally Dynamic Cellular Automaton withMemory in the Hexagonal Tessellation. CELLULAR AUTOMATA,PROCEEDINGS,2006,4173:30-40.
BAK P., CHEN K., CREUTZ M. Self-Organized Criticality in the Game of Life.NATURE,1989,342(6251):780-782.
Balseiro S. R., Loiseau I., Ramonet J. An Ant Colony Algorithm Hybridized withInsertion Heuristics for the Time Dependent Vehicle Routing Problem with TimeWindows. COMPUTERS&OPERATIONS RESEARCH,2011,38(6):954-966.
Bendjeghaba O., Ouahdi D. Redundancy Allocation Problem of Multi State PowerSystems Using Ant Colony System. INTERNATIONAL REVIEW OFELECTRICAL ENGINEERING-IREE,2010,5(4Part b):1715-1720.
Bessedik M., Laib R., Boulmerka A., et al. Ant Colony System for Graph ColoringProblem. International Conference on Computational Intelligence for Modelling,Control&Automation Jointly with International Conference on IntelligentAgents, Web Technologies&Internet Commerce, Vol1, Proceedings,2006:786-791.
BILSBORROW R. E., OGENDO HWOO. Population-Driven Changes in Land-Usein Developing-Countries. AMBIO,1992,21(1):37-45.
Blecic I., Borruso A., Cecchini A., et al. A Cellular Automata-Ready GisInfrastructure for Geosimulation and Territorial Analysis. COMPUTATIONALSCIENCE AND ITS APPLICATIONS-ICCSA2009, PT I,2009,5592:313-327.
Blum C. Beam-Aco-Hybridizing Ant Colony Optimization with Beam Search: AnApplication to Open Shop Scheduling. COMPUTERS&OPERATIONSRESEARCH,2005,32(6):1565-1591.
Boryczka U. Ants and Multiple Knapsack Problem.6TH INTERNATIONALCONFERENCE ON COMPUTER INFORMATION SYSTEMS ANDINDUSTRIAL MANAGEMENT APPLICATIONS, PROCEEDINGS,2007:149-154.
Bui T. N., Nguyen T. H., Patel C. M., et al.An Ant-Based Algorithm for ColoringGraphs. DISCRETE APPLIED MATHEMATICS,2008,156(2):190-200.
BYL J. Self-Reproduction in Small Cellular Automata. PHYSICA D,1989,34(1-2):295-299.
Cattaneo G., Durand B., Mauri G., et al. Introduction to the Special Issue On CellularAutomata. FUNDAMENTA INFORMATICAE,2002,52(1-3): I-II.
Chen F. X., Hu Y. M., Peng X. B., et al. Simulation of Land Use/Cover Change BasedOn the Clue-S Model.201018TH INTERNATIONAL CONFERENCE ONGEOINFORMATICS,2010.
Clarke K. C., Gaydos L. J. Loose-Coupling a Cellular Automaton Model and Gis:Long-Term Urban Growth Prediction for San Francisco andWashington/Baltimore. INTERNATIONAL JOURNAL OF GEOGRAPHICALINFORMATION SCIENCE,1998,12(7):699-714.
Couclelis Helen. Cellular Worlds: A Framework for Modelling Micro-MacroDynamics. Environment and Planning A,1985,17:585-96.
Couclelis Helen. A Theoretical Framework for Alternative Models of SpatialDecision and Behavior. Annals of the Association of American Geographers,1986,76:95-113.
Couclelis Helen. Cellular Dynamics: How Individual Decisions Lead to Global UrbanChange. European journal Of Operations Research,1986,30:344.
Demirel T., Yilmaz S. A New Solution Approach to Multi-Depot Vehicle RoutingProblem with Ant Colony Optimization. JOURNAL OF MULTIPLE-VALUEDLOGIC AND SOFT COMPUTING,2012,18(3-4):421-439.
Deng L. Y., Lin Y., Chen M. Hybrid Ant Colony Optimization for theResource-Constrained Project Scheduling Problem. JOURNAL OF SYSTEMSENGINEERING AND ELECTRONICS,2010,21(1):67-71.
DOBIS V., JOHNSON J. E. Land-Use Changes in the Fargo-Moorhead Fringe Area,1975-1980. NORTH DAKOTA FARM RESEARCH,1983,40(4):3-6.
Dorigo M., Gambardella L. M. Ant Colonies for the Travelling Salesman Problem.BIOSYSTEMS,1997,43(2):73-81.
Dowsland K. A., Thompson J. M. An Improved Ant Colony Optimisation Heuristicfor Graph Colouring. DISCRETE APPLIED MATHEMATICS,2008,156(3):313-324.
ERMENTROUT G. B., EDELSTEINKESHET L. Cellular Automata Approaches toBiological Modeling. JOURNAL OF THEORETICAL BIOLOGY,1993,160(1):97-133.
F. S. Chapin, S. F. Weiss. A Probabilistic Model of Residential Growth.Transportation Research,1968,2:375-390.
Fang Y. D., Wang F., Wang H. Research of Multi-Objective Optimization Study forJob Shop Scheduling Problem Based On Grey Ant ColonyAlgorithm.ADVANCED DESIGN TECHNOLOGY, PTS1-3,2011,308-310(Part1-3):1033-1036.
Fidanova S. Ant Colony Optimization for Multiple Knapsack Problem and ModelBias. NUMERICAL ANALYSIS AND ITS APPLICATIONS,2005,3401:280-287.
Fidanova S. Probabilistic Model of Ant Colony Optimization for Multiple KnapsackProblem. LARGE-SCALE SCIENTIFIC COMPUTING,2008,4818:545-552.
Gambardella L. M., Dorigo M. An Ant Colony System Hybridized with a New LocalSearch for the Sequential Ordering Problem. INFORMS JOURNAL ONCOMPUTING,2000,12(3):237-255.
Gao Y., Ge H. W. An Ant Colony Algorithm for Solving Set-CoveringProblems.DCABES2006PROCEEDINGS, VOLS1AND2,2006:467-469.
Gao Z. Q., Deng X. Z. Analysis On Spatial Features of Lucc Based On RemoteSensing and Gis in China. CHINESE GEOGRAPHICAL SCIENCE,2002,12(2):107-113.
Ghafouri M., Ghaderi N., Tabatabaei M., et al. Land Use Change and NutrientsSimulation for the Siah Darvishan Basin of the Anzali Wetland Region, Iran.BULLETIN OF ENVIRONMENTAL CONTAMINATION ANDTOXICOLOGY,2010,84(2):240-244.
Hamandawana H., Nkambwe M., Chanda R., et al. Population Driven Changes inLand Use in Zimbabwe's Gutu District of Masvingo Province: Some LessonsFrom Recent History. APPLIED GEOGRAPHY,2005,25(3):248-270.
Hu R. C., Ruan X. G. A Logistic Cellular Automaton for Simulating Tumor Growth.PROCEEDINGS OF THE4TH WORLD CONGRESS ON INTELLIGENTCONTROL AND AUTOMATION, VOLS1-4,2002:693-696.
Jenerette G. D., Potere D. Global Analysis and Simulation of Land-Use ChangeAssociated with Urbanization. LANDSCAPE ECOLOGY,2010,25(5):657-670.
JL.Casti, W. Stephen.A New Kind of Science. NATURE,2002,417(6887):381-382.
Kelarestaghi A., Jeloudar Z. J. Land Use/Cover Change and Driving Force Analysesin Parts of Northern Iran Using Rs and Gis Techniques. ARABIAN JOURNALOF GEOSCIENCES,2011,4(3-4):401-411.
Krausmann F., Haberl H., Schulz N. B., et al. Land-Use Change and Socio-EconomicMetabolism in Austria-Part I: Driving Forces of Land-Use Change:1950-1995.LAND USE POLICY,2003,20(1):1-20.
Kroc J., Vollmar R., Sipper M., et al. Special Issue On Modelling of ComplexSystems by Cellular Automata: Guest Editors' Introduction. JOURNAL OFCELLULAR AUTOMATA,2006,1(2):87-89.
Kutrib M., Vollmar R., Worsch T. Introduction to the Special Issue On CellularAutomata. PARALLEL COMPUTING,1997,23(11):1567-1576.
LANGTON C. G. Self-Reproduction in Cellular Automata. PHYSICA D,1984,10(1-2):135-144.
Li D., Li X., Liu X. P., et al. Gpu-Ca Model for Large-Scale Land-Use ChangeSimulation. CHINESE SCIENCE BULLETIN,2012,57(19):2442-2452.
Li X., Yeh AGO. Modelling Sustainable Urban Development by the Integration ofConstrained Cellular Automata and Gis. INTERNATIONAL JOURNAL OFGEOGRAPHICAL INFORMATION SCIENCE,2000,14(2):131-152.
Liang Y. C., Smith A. E. An Ant Colony Optimization Algorithm for the RedundancyAllocation Problem (Rap). IEEE TRANSACTIONS ON RELIABILITY,2004,53(3):417-423.
Lins I. D., Droguett E. L. Multiobjective Optimization of Redundancy Allocation inSystems with Imperfect Repairs Via Ant Colony and Discrete Event Simulation.SAFETY, RELIABILITY AND RISK ANALYSIS: THEORY, METHODSAND APPLICATIONS, VOLS1-4,2009:541-550.
Liu X. P., Li X., Shi X., et al. Simulating Land-Use Dynamics Under PlanningPolicies by Integrating Artificial Immune Systems with Cellular Automata.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATIONSCIENCE,2010,24(5):783-802.
Liu X. P., Li X., Yeh AGO, et al. Discovery of Transition Rules for GeographicalCellular Automata by Using Ant Colony Optimization. SCIENCE IN CHINASERIES D-EARTH SCIENCES,2007,50(10):1578-1588.
Lo S. C., Hsu C. H. Cellular Automata Simulation for Mixed Manual and AutomatedControl Traffic. MATHEMATICAL AND COMPUTER MODELLING,2010,51(7-8):1000-1007.
Lu M. S., Romanowski R. Multi-Contextual Ant Colony Optimization of IntermediateDynamic Job Shop Problems. INTERNATIONAL JOURNAL OF ADVANCEDMANUFACTURING TECHNOLOGY,2012,60(5-8):667-681.
Luebeck E. G., DeGunst MCM. A Stereological Method for the Analysis of CellularLesions in Tissue Sections Using Three-Dimensional Cellular Automata.MATHEMATICAL AND COMPUTER MODELLING,2001,33(12-13):1387-1400.
Luo P., Cao X., Li H. G., et al. Dynamic Simulation of Land Use Change in ShenzhenCity Based On Markov-Logistic-Ca Models.201018TH INTERNATIONALCONFERENCE ON GEOINFORMATICS,2010.
M. Gardner. Mathematical Games-the Fantastic Combinations of John Conway’SNew Solitaire Game “Life”. Scientific American,1970,(223):120-123.
Ma Y. H., Fan S. Y., Zhou L. H., et al. The Temporal Change of Driving FactorsDuring the Course of Land Desertification in Arid Region of North China: TheCase of Minqin County. ENVIRONMENTAL GEOLOGY,2007,51(6):999-1008.
Manfrin M., Birattari M., Stutzle T., et al. Parallel Ant Colony Optimization for theTraveling Salesman Problem. ANT COLONY OPTIMIZATION AND SWARMINTELLIGENCE, PROCEEDINGS,2006,4150:224-234.
MCNAMARA G. R., ZANETTI G. Use of the Boltzmann-Equation to SimulateLattice-Gas Automata. PHYSICAL REVIEW LETTERS,1988,61(20):2332-2335.
Merkle D., Middendorf M. An Ant Algorithm with a New Pheromone EvaluationRule for Total Tardiness Problems.REAL-WORLD APPLICATIONS OFEVOLUTIONARY COMPUTING, PROCEEDINGS,2000,1803:287-296.
Michael Batty, Yichun Xie. Modelling Inside Gis: Part1.Model Structures,Exploratory Spatial Data Analysis and Aggregation. International journal ofgeographical Information systems,1994,8(3):291-307.
Ming Y., Chen D. W., Huang R. H., et al. A Dynamic Analysis of Regional Land Useand Cover Changing (Lucc) by Remote Sensing and Gis-Taking Fuzhou Area asExample. ADVANCED ENVIRONMENTAL, CHEMICAL, ANDBIOLOGICAL SENSING TECHNOLOGIES VII,2010,7673(76730J).
Montemanni R., Smith D. H., Gambardella L. M. Ant Colony Systems for LargeSequential Ordering Problems.2007IEEE Swarm Intelligence Symposium,2007:60-67.
Mora JCST.Reversible Linear Cellular Automata and Block Permutations. REVISTAMEXICANA DE FISICA,2000,46(1):14-23.
Morita K. Simple Universal One-Dimensional Reversible Cellular Automata.JOURNAL OF CELLULAR AUTOMATA,2007,2(2):159-165.
Morita K. Reversible Computing and Cellular Automata-A Survey. THEORETICALCOMPUTER SCIENCE,2008,395(1):101-131.
Morita K. Computation in Reversible Cellular Automata. INTERNATIONALJOURNAL OF GENERAL SYSTEMS,2012,41(6SI):569-581.
Morita K. Computation in Reversible Cellular Automata. INTERNATIONALJOURNAL OF GENERAL SYSTEMS,2012,41(6SI):569-581.
Morita K., Imai K. Logical Universality and Self-Reproduction in Reversible CellularAutomata. EVOLVABLE SYSTEMS: FROM BIOLOGY TO HARDWARE,1997,1259:152-166.
Mouhoub M., Wang Z. J. Improving the Ant Colony Optimization Algorithm for theQuadratic Assignment Problem.2008IEEE CONGRESS ONEVOLUTIONARY COMPUTATION, VOLS1-8,2008:250-257.
MUNTON RJC, LOWE P., MARSDEN T. Forces Driving Land-Use Change-TheSocial, Economic and Political Context. LAND USE CHANGE: THE CAUSESAND CONSEQUENCES,1992,27:15-27.
Nehaniv C. L. Self-Reproduction in Asynchronous Cellular Automata.2002NASA/DOD CONFERENCE ON EVOLABLE HARDWARE,PROCEEDINGS,2002:201-209.
P. Norman H., W. Stephen.Two-Dimensional Cellular Automata. Journal ofStatistical Physics,1984,38(5/6):901-946.
Pan Y., Roth A., Yu Z. R., et al. The Impact of Variation in Scale On the Behavior ofa Cellular Automata Used for Land Use Change Modeling. COMPUTERSENVIRONMENT AND URBAN SYSTEMS,2010,34(5):400-408.
Panahi N., Tavakkoli-Moghaddam R. Solving a Multi-Objective Open ShopScheduling Problem by a Novel Hybrid Ant Colony Optimization. EXPERTSYSTEMS WITH APPLICATIONS,2011,38(3):2817-2822.
PANDEE P., CHAPMAN E. C. Recent Changes in Land-Use and Land Cover atHuai-Thung-Choa. MOUNTAIN RESEARCH AND DEVELOPMENT,1983,3(4):346-352.
Parpinelli R. S., Lopes H. S., Freitas A. A. Data Mining with an Ant ColonyOptimization Algorithm. IEEE TRANSACTIONS ON EVOLUTIONARYCOMPUTATION,2002,6(4):321-332.
PC Stern, OR Young, D Druckman. Global Environmental Change: Understandingthe Human Dimensions.1992.
Pintea C. M., Chira C., Dumitrescu D., et al. Sensitive Ants in Solving theGeneralized Vehicle Routing Problem. INTERNATIONAL JOURNAL OFCOMPUTERS COMMUNICATIONS&CONTROL,2011,6(4):734-741.
Plumettaz M., Schindl D., Zufferey N. Ant Local Search and its Efficient Adaptationto Graph Colouring. JOURNAL OF THE OPERATIONAL RESEARCHSOCIETY,2010,61(5):819-826.
R White, G Engelen. The Use of Constrained Cellular Automata for High-ResolutionModelling of Urban Land-Use Dynamics. Environment and Planning B:Planning and Design,1997,(24):323-343.
Randall M. Heuristics for Ant Colony Optimisation Using the GeneralisedAssignment Problem. CEC2004: PROCEEDINGS OF THE2004CONGRESSON EVOLUTIONARY COMPUTATION, VOLS1AND2,2004:1916-1923.
Ren Z. G., Feng Z. R., Ke L. J., et al. A Fast and Efficient Ant Colony OptimizationApproach for the Set Covering Problem.2008IEEE CONGRESS ONEVOLUTIONARY COMPUTATION, VOLS1-8,2008:1839-1844.
Sang L. L., Zhang C., Yang J. Y., et al. Simulation of Land Use Spatial Pattern ofTowns and Villages Based On Ca-Markov Model. MATHEMATICAL ANDCOMPUTER MODELLING,2011,54(3-4):938-943.
Saremi H. Q., Abedin B., Kermani A. M. Website Structure Improvement: QuadraticAssignment Problem Approach and Ant Colony Meta-Heuristic Technique.APPLIED MATHEMATICS AND COMPUTATION,2008,195(1):285-298.
See P. C., Wong K. Y., Komarudin. Assessment Guidelines for Ant ColonyAlgorithms When Solving Quadratic Assignment Problems.COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING, VOL2:ADVANCES IN COMPUTATIONAL SCIENCE,2009,1148:865-867.
Serra P., Pons X., Sauri D. Land-Cover and Land-Use Change in a MediterraneanLandscape: A Spatial Analysis of Driving Forces Integrating Biophysical andHuman Factors. APPLIED GEOGRAPHY,2008,28(3):189-209.
Seybold P. G., Kier L. B., Cheng C. K. Modeling Dynamic Chemical Systems UsingCellular Automata. ABSTRACTS OF PAPERS OF THE AMERICANCHEMICAL SOCIETY,1999,217(Part1): U662-U662.
Silva RMD, Ramalho G. L. Ant System for the Set Covering Problem.2001IEEEINTERNATIONAL CONFERENCE ON SYSTEMS, MAN, ANDCYBERNETICS, VOLS1-5: E-SYSTEMS AND E-MAN FORCYBERNETICS IN CYBERSPACE,2002:3129-3133.
Socha K., Sampels M., Manfrin M. Ant Algorithms for the University CourseTimetabling Problem with Regard to the State-of-the-Art. APPLICATIONS OFEVOLUTIONARY COMPUTING,2003,2611:334-345.
Tsutsui S. Parallel Ant Colony Optimization for the Quadratic Assignment Problemswith Symmetric Multi Processing. ANT COLONY OPTIMIZATION ANDSWARM INTELLIGENCE, PROCEEDINGS,2008,5217:363-370.
Waldo Tobler. A Computer Movie Simulating Urban Growth in the Detroit Region.Economic Geography,1970,46(2):234-240.
Walfram Stephen. Universality and Complexity in Cellular Automata. Physica D,1984,10:1-2.
WH Form. The Place of Social Structure in the Determination of Land Use. SocialForces,1954,32:317-323.
Wolfram Stephen.Cellular Automata as Models of Complexity. Nature,1984,311(4):419-424.
Wolfram Stephen.Twenty Problems in the Theory of Cellular Automata. PhysicaScripta,1985,(9):170-183.
Wong K. Y., See P. C. A Hybrid Ant Colony Optimization Algorithm for SolvingFacility Layout Problems Formulated as Quadratic Assignment Problems.ENGINEERING COMPUTATIONS,2010,27(1-2):117-128.
Wu Y. Z., Peng Y., Zhang X. L., et al. Development Priority Zoning (Dpz)-LedScenario Simulation for Regional Land Use Change: The Case of SuichangCounty, China. HABITAT INTERNATIONAL,2012,36(2):268-277.
Xing L. N., Chen Y. W., Wang P., et al. Knowledge-Based Ant Colony Optimizationfor Flexible Job Shop Scheduling Problems. APPLIED SOFT COMPUTING,2010,10(3):888-896.
Yagmahan B., Yenisey M. M. A Multi-Objective Ant Colony System Algorithm forFlow Shop Scheduling Problem. EXPERT SYSTEMS WITH APPLICATIONS,2010,37(2):1361-1368.
Yang X., Zheng X. Q., Lv L. N.A Spatiotemporal Model of Land Use Change BasedOn Ant Colony Optimization, Markov Chain and CellularAutomata.ECOLOGICAL MODELLING,2012,233:11-19.
Yao B. Z., Yang C. Y., Hu J. J., et al. An Improved Ant Colony Optimization forFlexible Job Shop Scheduling Problems. ADVANCED SCIENCE LETTERS,2011,4(6-7):2127-2131.
Yeh AGO, Li X. Simulation of Compact Cities Based On the Integration of CellularAutomata and Gis. THEORETICAL AND PRACTICAL ISSUES ONCELLULAR AUTOMATA,2001:170-178.
Zak M. R., Cabido M., Caceres D., et al. What Drives Accelerated Land CoverChange in Central Argentina? Synergistic Consequences of Climatic,Socioeconomic, and Technological Factors. ENVIRONMENTALMANAGEMENT,2008,42(2):181-189.
Zamyatin A., Cabral P. Advanced Spatial Metrics Analysis in Cellular AutomataLand Use and Cover Change Modeling. DYNA-COLOMBIA,2011,78(170):42-50.
Zhan J. Y., Shi N. N., He S. J., et al. Factors and Mechanism Driving the Land-UseConversion in Jiangxi Province. JOURNAL OF GEOGRAPHICAL SCIENCES,2010,20(4):525-539.
Zhang H. Ant Colony Optimization for Multimode Resource-Constrained ProjectScheduling. JOURNAL OF MANAGEMENT IN ENGINEERING,2012,28(2):150-159.
Zheng X. Q., Zhao L., Xiang W. N., et al. A Coupled Model for SimulatingSpatio-Temporal Dynamics of Land-Use Change: A Case Study in Changqing,Jinan, China. LANDSCAPE AND URBAN PLANNING,2012,106(1):51-61.
Zhou H., Li Z. D., Wu X. J. Scheduling Unrelated Parallel Machine to MinimizeTotal Weighted Tardiness Using Ant Colony Optimization.2007IEEEINTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS,VOLS1-6,2007:132-136.
邴广路,石培基,居玲华.生态脆弱区土地利用变化及驱动因素分析——以张掖市为例.干旱区研究,2010,(2):169-175.
曹晶晶,吴静,李纯斌.基于马尔柯夫模型的酒泉市肃州区LUCC趋势预测.国土与自然资源研究,2008,(1):45-47.
曹中初,孙苏南. CA与GIS的集成用于地理信息的动态模拟和建模.测绘通报,1999,(11):7-9.
陈百明.试论中国土地利用和土地覆被变化及其人类驱动力研究.自然资源,1997,31-36.
陈改英,郭达志.北京市昌平区土地利用/覆盖变化的遥感监测与热环境响应分析.测绘通报,2011,(11):37-40.
陈红顺,夏斌.快速城市化地区土地利用变化及驱动因素分析——以广东省东莞市为例.水土保持通报,2012,(1):54-59.
陈文波,赵小汎.新建县土地利用变化预测与驱动因素分析.江西农业大学学报,2006,(4):615-619.
崔振洋,李晓亮.基于RS与GIS的山西省土地利用动态变化分析.中国农学通报,2006,(6):418-420.
戴芹,刘建波.基于蚁群规则挖掘算法的多特征遥感数据分类.地理研究,2009,(4):1136-1145.
戴旭.利用地理信息系统方法编制腾冲土地类型图.陕西师大学报(自然科学版),1988,(2):70-78.
丁娅萍,张学霞,陈仲新.植被盖度与地表亮温关系的遥感监测分析——以北京市昌平区为例.中国农业资源与区划,2011,(5):8-15.
董杰,杨春德,周秀慧等.山东省土地利用结构时空变化及其驱动机制分析.水土保持研究,2006,(4):206-210.
杜自强,王建,陈正华等.基于RS和GIS的区域土地利用动态变化及演变趋势分析.干旱区资源与环境,2007,(1):115-119.
伏洋,肖建设,校瑞香等.基于RS和GIS的西宁市LUCC分析及模拟预测.农业工程学报,2009,(7):211-218+2.
甘红,刘彦随,王大伟.土地利用类型转换的人文驱动因子模拟分析.资源科学,2004,(2):88-93.
高小永.基于多目标蚁群算法的土地利用优化配置：[博士学位论文].武汉大学,2010.
葛全胜,赵名茶,郑景云.20世纪中国土地利用变化研究.地理学报,2000,(6):698-706.
龚文峰,袁力,范文义.基于CA-Markov的哈尔滨市土地利用变化及预测.农业工程学报,2012,(14):216-222.
郭丽英,刘彦随,任志远.生态脆弱区土地利用格局变化及其驱动机制分析——以陕西榆林市为例.资源科学,2005,(2):128-133.
韩超峰,陈仲新. LUCC驱动力模型研究综述.中国农学通报,2008,(4):365-368.
郝春燕,王艳,郝从容.娄烦县岚河流域LUCC景观格局分析.科技导报,2008,(3):65-67.
何丹,金凤君,周璟.基于Logistic-CA-Markov的土地利用景观格局变化——以京津冀都市圈为例.地理科学,2011,(8):903-910.
洪伟,杨武年.基于遥感和GIS的南充市顺庆区LUCC动态变化分析.测绘,2010,(3):139-143.
侯西勇,常斌,于信芳.基于CA-Markov的河西走廊土地利用变化研究.农业工程学报,2004,(5):286-291.
胡贤辉,张霞,杨钢桥.湖北省土地利用结构变化及其驱动机制分析.长江流域资源与环境,2008,(1):43-46.
惠林虎,屈百达,徐保国等. CA与GIS系统结合在城市扩展中的研究.贵州师范大学学报(自然科学版),2011,(1):68-73.
接栋正,庄剑顺.快速城市化地区土地利用变化的人文因素分析——以泉州市为例.亚热带资源与环境学报,2008,(2):89-94.
解修平,周杰,张海龙等.基于景观生态和马尔可夫过程的西安地区土地利用变化分析.资源科学,2006,(6):175-181.
柯新利,边馥苓.基于C5.0决策树算法的元胞自动机土地利用变化模拟模型.长江流域资源与环境,2010,(4):403-408.
孔祥斌,张凤荣,齐伟.基于农户利用目标的集约化农区土地利用驱动机制分析——以河北省曲周县为例.地理科学进展,2004,(3):50-57.
黎巍,曾和平,陈桂荣等.基于ASTER影像数据源的龙川江LUCC景观格局特点分析.贵州农业科学,2009,(8):162-165.
黎夏,叶嘉安.基于神经网络的单元自动机CA及真实和忧化的城市模拟.地理学报,2002,(2):159-166.
黎夏,叶嘉安.基于神经网络的元胞自动机及模拟复杂土地利用系统.地理研究,2005,(1):19-27.
李海燕,蔡银莺.武汉市土地利用动态变化及其驱动因素分析.国土与自然资源研究,2011,(1):11-13.
李平,李秀彬,刘学军.我国现阶段土地利用变化驱动力的宏观分析.地理研究,2001,(2):129-138.
李森,杨萍,王跃等.阿里高原土地沙漠化发展演变与驱动因素分析.中国沙漠,2005,(6):46-52.
李天顺,焦彩霞,张红等.西安市土地利用的时空变化分析.干旱区资源与环境,2003,(4):29-33.
李香云,杨君,王立新.干旱区土地荒漠化的人为驱动作用分析——以塔里木河流域为例.资源科学,2004,(5):30-37.
李小文,曹春香,常超一.地理学第一定律与时空邻近度的提出.自然杂志,2007,(2):69-71.
梁长秀.基于RS和GIS的北京市土地利用/覆被变化研究：[博士学位论文].北京林业大学,2009.
蔺卿,罗格平,陈曦. LUCC驱动力模型研究综述.地理科学进展,2005,(5):81-89.
凌成星,鞠洪波,张怀清等.基于CA-MARKOV模型的北京湿地资源变化预测研究.中国农学通报,2012,(20):262-269.
刘坚,黄贤金,翟文侠等.快速城市化背景下江苏省土地利用程度变化及其人文驱动因素分析.四川农业大学学报,2005,(2):223-227.
刘静玉,钱乐祥,苗长虹等.基于RS与GIS技术的豫西山地典型区域LUCC动态监测研究.河南大学学报(自然科学版),2005,(2):46-51.
刘培学,张建新,王艳等.县域土地利用动态变化及驱动因素差异分析——以江苏省贾汪区、吴江市为例.江西农业学报,2010,(2):159-164.
刘世梁,崔保山,杨志峰等.道路网络对澜沧江流域典型区土地利用变化的驱动分析.环境科学学报,2006,(1):162-167.
刘小平,黎夏.从高维特征空间中获取元胞自动机的非线性转换规则.地理学报,2006,(6):663-672.
刘小平,黎夏,艾彬等.基于多智能体的土地利用模拟与规划模型.地理学报,2006,(10):1101-1112.
刘小平,黎夏,彭晓鹃.“生态位”元胞自动机在土地可持续规划模型中的应用.生态学报,2007,(6):2391-2402.
刘小平,黎夏,叶嘉安等.利用蚁群智能挖掘地理元胞自动机的转换规则.中国科学(D辑:地球科学),2007,(6):824-834.
刘新卫,陈百明,史学正.国内LUCC研究进展综述.土壤,2004,(2):132-135+140.
罗格平,周成虎,陈曦.干旱区绿洲土地利用与覆被变化过程.地理学报,2003,(1):63-72.
罗平,李满春,雷元新等.基于经典地理过程分析概念的CA模型扩展.武汉大学学报(工学版),2004,(5):85-89+119.
马红花.多时相矿区土地利用/覆被变化及驱动因素分析：[硕士学位论文].河南理工大学,2011.
马利邦,牛叔文,杨丽娜.基于Markov和CLUE-S模型的敦煌市土地利用/覆盖格局情景模拟.生态学杂志,2012,(7):1823-1831.
蒙吉军,严汾.大城市边缘区LUCC驱动力的时空分异研究——以北京昌平区为例.北京大学学报(自然科学版),2009,(2):311-318.
聂承静,陈文波,李海峰等.沿海地区土地利用变化及驱动机制研究——以大连市为例.水土保持研究,2009,(4):259-263.
宁敢.基于群体智能及CA的城市土地利用时空动力学模型构建与应用：[硕士学位论文].中国地质大学（北京）,2011.
乔伟峰,孙在宏,邵繁荣等.高度城市化区域土地利用结构演化与驱动因素分析——以苏州市为例.长江流域资源与环境,2012,(5):557-564.
邱炳文,陈崇成.基于多目标决策和CA模型的土地利用变化预测模型及其应用.地理学报,2008,(2):165-174.
邵景安,李阳兵,魏朝富等.大洪河水库库区土地利用变化及其社会经济驱动因素.生态学杂志,2007,(6):898-903.
施亚飞,李小春.基于SLEUTH模型的长江口北岸土地利用演化模拟研究.现代测绘,2010,(3):6-8.
史洪超.土地利用/覆被变化(LUCC)研究进展综述.安徽农业科学,2012,(26):13107-13110+13125.
史培军,宫鹏.土地利用/覆被变化研究的方法与实践.北京:科学出版社,2000.
苏高华,陈方正,郑新奇.基于系统论的农村居民点用地演变驱动机制研究——以北京市昌平区为例.水土保持研究,2009,(4):117-120+126.
苏高华,陈方正,郑新奇等.北京市昌平区农村居民点用地演变机理研究.安徽农业科学,2009,(19):9075-9077+9083.
孙玉杰,徐惠,黎德松等.高淳县土地利用变化驱动因素分析与预测.山东农业大学学报(自然科学版),2011,(4):527-532.
覃开贤,胡宝清,韩世静.基于BP-ANN-CA的都安喀斯特土地系统演变模拟.地球与环境,2012,(3):423-429.
谭少华,倪绍祥,赵万民.江苏省土地利用变化及其驱动机理研究.地理与地理信息科学,2006,(5):50-54.
陶海燕,黎夏,陈晓翔等.基于多智能体的地理空间分异现象模拟——以城市居住空间演变为例.地理学报,2007,(6):579-588.
陶嘉,黎夏,刘小平等.分析学习智能元胞自动机及优化的城市模拟.地理与地理信息科学,2007,(5):43-47+51.
田义超,任志远.基于CLUE-S模型的黄土台塬区土地利用变化模拟——以陕西省咸阳台塬区为例.地理科学进展,2012,(9):1224-1234.
汪小钦,王钦敏,励惠国等.黄河三角洲土地利用/覆盖变化的微地貌区域分异.地理科学,2008,(4):513-517.
王彬俨,程金花,张洪江等.北京昌平区农地土壤大孔隙特征.水土保持学报,2012,(3):189-193.
王汉花,刘艳芳.基于生态位与约束CA的土地资源优化配置模型研究——以武汉市黄陂区为例.中国人口.资源与环境,2008,(2):97-102.
王汉花,刘艳芳.基于MOP-CA整合模型的土地利用优化研究.武汉大学学报(信息科学版),2009,(2):174-177+247.
王行风,汪云甲.采煤驱动下的矿区土地利用演化模拟和预测.金属矿山,2011,(1):132-135.
王介勇,刘彦随.三亚市土地利用/覆被变化及其驱动机制研究.自然资源学报,2009,(8):1458-1466.
王磊.土地利用变化的多尺度模拟研究：[博士学位论文].北京大学,2011.
王磊,王羊,蔡运龙.土地利用变化的ANN-CA模拟研究——以西南喀斯特地区猫跳河流域为例.北京大学学报(自然科学版),2012,(1):116-122.
王丽艳,张学儒,张华等. CLUE-S模型原理与结构及其应用进展.地理与地理信息科学,2010,(3):73-77.
王琳.土地利用变化CA模拟的尺度敏感性研究：[硕士学位论文].太原理工大学,2011.
王群,王万茂.中国省区土地利用差异驱动因素实证研究.中国土地科学,2005,(6):21-25.
王淑琴.土地利用变化多尺度模拟及其精度研究：[博士学位论文].北京：中国地质大学（北京）,2011.
王巍,刘贤赵,杨文.近20年来烟台沿海地区土地利用变化研究.干旱区地理,2007,(6):988-994.
王玉华,刘彦随,周应华.沿海发达地区土地利用转换的人文驱动机制研究——以温州市为例.地理科学进展,2004,(2):43-50.
夏斌,陈健坤,李军等.丘陵红壤区土地利用变化及人文驱动因素分析——以井冈山市为例.科技管理研究,2010,(15):63-67+44.
肖明,吴季秋,陈秋波等.基于CA-Markov模型的昌化江流域土地利用动态变化.农业工程学报,2012,(10):231-238.
肖杨,王红瑞,伍玉容.公路工程对土地利用/土地覆被变化的驱动效应分析.交通环保,2002,(1):10-12.
熊婷,欧名豪.扬州市土地利用动态变化及其驱动因素分析.国土资源科技管理,2007,(4):41-46.
徐昔保,杨桂山,张建明.基于神经网络CA的兰州城市土地利用变化情景模拟.地理与地理信息科学,2008,(6):80-83+113.
许宏森,梁淑云.昌平区产业经济可持续发展对策.科技潮,2012,61.
杨斌.基于地统计学的土地利用空间数据挖掘方法研究：[硕士学位论文].中国地质大学（北京）,2009.
杨东,郑凤娟,窦慧亮等.干旱内陆河流域土地利用变化的人文驱动因素探究——以甘肃省酒泉市为例.水土保持研究,2010,(2):218-222.
杨桄,刘湘南,王平等.松嫩沙地土地利用变化的社会经济驱动机制分析——以吉林省前郭县为例.东北师大学报(自然科学版),2002,(1):111-116.
杨国清,刘耀林,吴志峰.基于CA-Markov模型的土地利用格局变化研究.武汉大学学报(信息科学版),2007,(5):414-418.
杨国清,钟敏,刘欢等.广州市土地利用变化及其驱动力研究.安徽农业科学,2012,(2):1200-1202.
杨亮洁,薛重生.基于地理实体的城市元胞自动机模型研究.北京理工大学学报(社会科学版),2009,(1):80-84.
杨青生,黎夏.多智能体与元胞自动机结合及城市用地扩张模拟.地理科学,2007,(4):542-548.
杨青生,黎夏.基于遗传算法自动获取CA模型的参数——以东莞市城市发展模拟为例.地理研究,2007,(2):229-237.
杨青生,黎夏,刘小平.基于Agent和CA的城市土地利用变化研究.地球信息科学,2005,(2):
姚成胜,朱鹤健,吕晞等.土地利用变化的社会经济驱动因子对福建生态系统服务价值的影响.自然资源学报,2009,(2):225-233.
叶康保,胡石元.基于地理空间实体的矢量元胞自动机研究.科技资讯,2006,(16):165-167.
于开芹.泰安市区土地利用变化及生态效应研究：[博士学位论文].山东农业大学,2009.
臧淑英,王凌云,那晓东.基于经济驱动因子的土地利用结构变化区域差异分析——以哈大齐工业走廊为例.地理研究,2011,(2):224-232.
张飞虎,彭慧.北京市土地利用变化及驱动机制研究.兰州学刊,2008,(4):69-71+137.
张峰.北京市郊区可持续景观生态规划及优化生态生产范式研究——以昌平区为例：[博士学位论文].中国科学院研究生院（植物研究所）,2004.
张峰,王桥,王文杰等.内蒙古森林草原交错带土地利用变化的区域差异特征分析.资源科学,2006,(3):52-58.
张贵军,张蓬涛,李宏伟等.河北省土地利用变化及其驱动机制研究.河北农业大学学报,2008,(1):93-98.
张惠远,王仰麟.土地资源利用的景观生态优化方法.地学前缘,2000,112-120.
张丽琴.城市地区土地利用变化人类活动驱动机制研究：[博士学位论文].中国地质大学,2005.
张丽琴,姚书振,李江风.我国城市土地利用演进驱动机制分析.科技进步与对策,2003,(15):93-95.
张维存.蚁群粒子群混合优化算法及应用：[博士学位论文].天津大学,2007.
张岩,李京,陈云浩.利用SLEUTH模型进行北京城市扩展模拟研究.遥感信息,2007,(2):50-54+104.
张叶,江晓波,邱枫. LUCC模型研究综述.资源开发与市场,2006,(4):311-314.
章波,濮励杰,黄贤金等.城市区域土地利用变化及驱动机制研究——以长江三角洲地区为例.长江流域资源与环境,2005,(1):28-33.
章予舒,王立新,张红旗等.疏勒河流域土地利用变化驱动因素分析——以安西县为例.地理科学进展,2003,(3):170-178.
赵冠伟,陈颖彪,陈健飞等. CA-Markov模型的空间尺度敏感性研究.地理科学,2011,(8):897-902.
赵晓丽,易玲,张增祥等.山西省土地覆盖时空变化特征及其驱动因子分析.地球信息科学学报,2010,(1):95-102.
郑德本,夏斌,赵冠伟.基于逻辑回归CA的土地利用变化模拟——以广州市花都区为例.安徽农业科学,2010,(11):5791-5793.
周成虎.地理元胞自动机研究.北京:科学出版社,1999.
朱飞鸽,胡瀚文,沈兴华等.基于SLEUTH模型的上海城市增长预测.生态学杂志,2011,(9):2107-2114.
左洪浩.蚁群优化算法及其应用研究：[博士学位论文].中国科学技术大学,2006.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |