Optimization of adaptive fuzzy logic controller using novel combined evolutionary algorithms, and its application in Diez Lagos flood controlling system, Southern New Mexico
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- 作者：Hamed Zamani Sabzia ; hzamani@nmsu.edu" class="auth_mail" title="E-mail the corresponding author ; hamed.zs87@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Delbert Humbersona ; b ; delbert.humberson@ibwc.gov" class="auth_mail" title="E-mail the corresponding author ; Shalamu Abuduc ; shalamu310@outlook.com" class="auth_mail" title="E-mail the corresponding author ; James Phillip Kinga ; d ; jpking@nmsu.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Fuzzy logic controller ; Genetic algorithm ; Particle swarm optimization ; ANFIS ; Flood optimal management ; Simulink ; Dynamic model ; Flood controlling systems
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：43
- 期：Complete
- 页码：154-164
- 全文大小：3888 K
文摘
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Using evolutionary algorithms in a novel search engine led to superior performance.
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Using the Takagi–Sugeno method led to near-optimum initial values for the MFPs.
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Developing a feedback monitoring system reliably led to reliable operating rules.
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Successful application of an optimized FLC in monitoring a simulated dynamic model.