Operational Optimal Search Efforts Allocation Algorithm
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- 英文论文题名：Operational Optimal Search Efforts Allocation Algorithm
- 论文作者：XIAO Fangbing ; YIN Yong ; REN Hongxiang ; ZHANG Xinyu
- 英文论文作者：XIAO Fangbing ; YIN Yong ; REN Hongxiang ; ZHANG Xinyu ; Navigation College ; Dalian Maritime University ; Key Laboratory of Marine Simulation and Control ; Dalian Maritime University
- 年：2015
- 作者机构：Navigation College,Dalian Maritime University;Key Laboratory of Marine Simulation and Control,Dalian Maritime University;
- 英文论文关键词：maritime search and rescue ; search planning ; search rectangles ; search efforts allocation
- 会议召开时间：2015-09-01
- 会议录名称：中国航海科技优秀论文集（2014）
- 语种：英文
- 分类号：U676.83
- 学会代码：PJJY
- 学会名称：上海浦江教育出版社有限公司
- 页数：15
- 文件大小：1094k
- 原文格式：O
摘要
In order to improve Search and Rescue(SAR) response capability in planning the search mission more quickly and more efficiently,an operational optimal search effort allocation algorithm is presented adopting a heuristic search method based on the search rectangles of search units and the operational constraints which developing search plan needs to comply with in the actual Maritime Search and Rescue(MSAR) operations.The algorithmic steps for solving optimal search rectangles allocation model are proposed.At present,a decision support prototype system of MSAR is realized based on the operational optimal search rectangles allocation algorithm.The prototype system is integrated into our Maritime Search and Rescue Simulation System(MSRSS) as a simulation unit in order to improve the function of MSRSS.
In order to improve Search and Rescue(SAR) response capability in planning the search mission more quickly and more efficiently,an operational optimal search effort allocation algorithm is presented adopting a heuristic search method based on the search rectangles of search units and the operational constraints which developing search plan needs to comply with in the actual Maritime Search and Rescue(MSAR) operations.The algorithmic steps for solving optimal search rectangles allocation model are proposed.At present,a decision support prototype system of MSAR is realized based on the operational optimal search rectangles allocation algorithm.The prototype system is integrated into our Maritime Search and Rescue Simulation System(MSRSS) as a simulation unit in order to improve the function of MSRSS.
In order to improve Search and Rescue(SAR) response capability in planning the search mission more quickly and more efficiently,an operational optimal search effort allocation algorithm is presented adopting a heuristic search method based on the search rectangles of search units and the operational constraints which developing search plan needs to comply with in the actual Maritime Search and Rescue(MSAR) operations.The algorithmic steps for solving optimal search rectangles allocation model are proposed.At present,a decision support prototype system of MSAR is realized based on the operational optimal search rectangles allocation algorithm.The prototype system is integrated into our Maritime Search and Rescue Simulation System(MSRSS) as a simulation unit in order to improve the function of MSRSS.
引文
[1]Breivik,Allen A.A.An operational search and rescue model for the Norwegian Sea and the North Sea[J].Journal of Marine Systems,2008(69):99-113.
[2]Frost J.R.The theory of search:A Simplified Explanation.Virginia:Soza&Company,Ltd.and Office of Search and Rescue U.S.Coast Guard,1996.
[3]Frost J.R.,Stone L.D.Review of Search Theory:Advances and Applications to Search and Rescue Decision Support.U.S.Coast Guard Research and Development Center,2001.
[4]IMO/ICAO.International Aeronautical and Maritime Search and Rescue Manual.ICAO/IMO publications,1999.
[5]Richardson H.R.,Discenza J.H.The United States Coast Guard Computer-Assisted Search Planning system(CASP)[J].Naval Research Logistics Quarterly,1980(27):659-680.
[6]Stone L.D.Theory of Optimal Search[D].America:Academic Press,1975.
[7]Xiao F.B.,Yin Y.,Jin Y.C.,et al.Determination of Maritime Search Area Based on Stochastic Particle Simulation[J].Navigation of China,2011,34(3):34-39.
[2]Frost J.R.The theory of search:A Simplified Explanation.Virginia:Soza&Company,Ltd.and Office of Search and Rescue U.S.Coast Guard,1996.
[3]Frost J.R.,Stone L.D.Review of Search Theory:Advances and Applications to Search and Rescue Decision Support.U.S.Coast Guard Research and Development Center,2001.
[4]IMO/ICAO.International Aeronautical and Maritime Search and Rescue Manual.ICAO/IMO publications,1999.
[5]Richardson H.R.,Discenza J.H.The United States Coast Guard Computer-Assisted Search Planning system(CASP)[J].Naval Research Logistics Quarterly,1980(27):659-680.
[6]Stone L.D.Theory of Optimal Search[D].America:Academic Press,1975.
[7]Xiao F.B.,Yin Y.,Jin Y.C.,et al.Determination of Maritime Search Area Based on Stochastic Particle Simulation[J].Navigation of China,2011,34(3):34-39.