A switched parameter differential evolution with optional blending crossover for scalable numerical optimization.

Arka Ghosh,Swagatam Das,Sankha Subhra Mullick,Rammohan Mallipeddi,Asit Kumar Das

Applied Soft Computing（2017）

引用 36|浏览27

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摘要

•A simple yet very efficient variant of DE for scale-free optimization.•Novel switching based adaptation of F and Cr parameters.•A unit memory success-based mutation scheme used.•A modified BLX-alpha-beta crossover scheme is integrated with DE.•Extensive simulation results on CEC 2013 and CEC 2010 benchmark sets.

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关键词

Evolutionary computation,Differential evolution,Large-scale optimization,BLX crossover,Parameter switching

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