Population size reduction for the differential evolution algorithm

被引：290
|
作者：
Brest, Janez [1 ]
Maucec, Mirjam Sepesy [1 ]
机构：
[1] Univ Maribor, Fac Elect Engn & Comp Sci, SLO-2000 Maribor, Slovenia
来源：
APPLIED INTELLIGENCE | 2008年 / 29卷 / 03期
关键词：
Differential evolution; Control parameter; Fitness function; Global function optimization; Self-adaptation; Population size;
D O I：
10.1007/s10489-007-0091-x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：228 / 247
页数：20
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