Population size reduction for the differential evolution algorithm

被引：0
|
作者：
Janez Brest
Mirjam Sepesy Maučec
机构：
[1] University of Maribor,Faculty of Electrical Engineering and Computer Science
来源：
Applied Intelligence | 2008年 / 29卷
关键词：
Differential evolution; Control parameter; Fitness function; Global function optimization; Self-adaptation; Population size;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper studies the efficiency of a recently defined population-based direct global optimization method called Differential Evolution with self-adaptive control parameters. The original version uses fixed population size but a method for gradually reducing population size is proposed in this paper. It improves the efficiency and robustness of the algorithm and can be applied to any variant of a Differential Evolution algorithm. The proposed modification is tested on commonly used benchmark problems for unconstrained optimization and compared with other optimization methods such as Evolutionary Algorithms and Evolution Strategies.
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收藏
页码：228 / 247
页数：19
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