A Hybrid Desirability Function Approach for Tuning Parameters in Evolutionary Optimization Algorithms

Mohammadsadegh Mobin,Seyed Mohsen Mousavi,Mohammad Komaki,Madjid Tavana

Measurement（2018）

引用 38|浏览8

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摘要

•Propose a novel hybrid approach to tune the parameters of evolutionary algorithms.•Simultaneous optimization of all performance metrics of the evolutionary algorithm.•Performance metric function estimation using full factorial design of experiment.•Desirability function approach to optimize performance of evolutionary algorithm.•Case Study: Tune MOPSO and NSGA-III in solving a machine scheduling problem.

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关键词

Parameter tuning,Evolutionary algorithms,Desirability function,Multi-objective particle swarm optimization,Fast non-dominated sorting genetic algorithm,Multi-objective single machine scheduling

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