Differential evolution for multiobjective optimization with self adaptation

被引：64

作者：

Zamuda, Ales ^{[1
]}

Brest, Janez ^{[1
]}

Boskovic, Borko ^{[1
]}

Zumer, Vijem ^{[1
]}

机构：

[1] Univ Maribor, Fac Elect Engn & Comp Sci, Comp Architecture& Languages Lab, Inst Comp Sci, SI-2000 Maribor, Slovenia

来源：

2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/CEC.2007.4424941

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 presents performance assessment of Differential Evolution for Multiobjective Optimization with Self Adaptation algorithm, which uses the self adaptation mechanism from evolution strategies to adapt F and CR parameters of the candidate creation in DE. Results for several runs on CEC2007 special session test functions are presented and assessed with different performance metrics. Based on these metrics, algorithm strengths and weaknesses are discussed.

引用

页码：3617 / 3624

页数：8

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