Optimization of adaptive fuzzy logic controller using novel combined evolutionary algorithms, and its application in Diez Lagos flood controlling system, Southern New Mexico

作者：

Highlights：

• Using evolutionary algorithms in a novel search engine led to superior performance.

• Using the Takagi–Sugeno method led to near-optimum initial values for the MFPs.

• Developing a feedback monitoring system reliably led to reliable operating rules.

• Successful application of an optimized FLC in monitoring a simulated dynamic model.

摘要

•Using evolutionary algorithms in a novel search engine led to superior performance.•Using the Takagi–Sugeno method led to near-optimum initial values for the MFPs.•Developing a feedback monitoring system reliably led to reliable operating rules.•Successful application of an optimized FLC in monitoring a simulated dynamic model.

论文关键词：Fuzzy logic controller,Genetic algorithm,Particle swarm optimization,ANFIS,Flood optimal management,Simulink,Dynamic model,Flood controlling systems

论文评审过程：Received 11 June 2015, Revised 4 August 2015, Accepted 25 August 2015, Available online 1 September 2015, Version of Record 20 October 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.08.043