Dynamic Optimization using Self-Adaptive Differential Evolution

被引：140

作者：

Brest, Janez ^{[1
]}

Zamuda, Ales ^{[1
]}

Boskovic, Borko ^{[1
]}

Maucec, Mirjam Sepesy ^{[1
]}

Zumer, Viljem ^{[1
]}

机构：

[1] Univ Maribor, Fac Elect Engn & Comp Sci, SLO-2000 Maribor, Slovenia

来源：

2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 | 2009年

关键词：

D O I：

10.1109/CEC.2009.4982976

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method with aging mechanism is used. The performance of the jDE algorithm is evaluated on the set of benchmark functions provided for the CEC 2009 special session on evolutionary computation in dynamic and uncertain environments.

引用

页码：415 / 422

页数：8

共 22 条

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