Improving Differential Evolution With a Successful-Parent-Selecting Framework

An effective and efficient successful-parent-selecting framework is proposed to improve the performance of differential evolution (DE) by providing an alternative for the selection of parents during mutation and crossover. The proposed method adapts the selection of parents by storing successful sol...

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Veröffentlicht in:	IEEE transactions on evolutionary computation 2015-10, Vol.19 (5), p.717-730
Hauptverfasser:	Shu-Mei Guo, Chin-Chang Yang, Pang-Han Hsu, Tsai, Jason S.-H
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmark testing Differential evolution global numerical optimization Linear programming Optimization parent adaptation Sociology stagnation Statistics Upper bound Vectors
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