A new mechanism for maintaining diversity of Pareto archive in multi-objective optimization

被引：14

作者：

Hajek, Jaroslav ^{[2
]}

Szollos, Andras ^{[2
]}

Sistek, Jakub ^{[1
]}

机构：

[1] Inst Math AS CR, CZ-11567 Prague, Czech Republic

[2] Aeronaut Res & Test Inst, CZ-19905 Prague, Czech Republic

来源：

ADVANCES IN ENGINEERING SOFTWARE | 2010年 / 41卷 / 7-8期

关键词：

Multi-objective optimization; Micro-genetic algorithm; Diversity; Pareto archive;

D O I：

10.1016/j.advengsoft.2010.03.003

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The article introduces a new mechanism for selecting individuals to a Pareto archive. It was combined with a micro-genetic algorithm and tested on several problems. The ability of this approach to produce individuals uniformly distributed along the Pareto set without negative impact on convergence is demonstrated on presented results. The new concept was confronted with NSGA-II, SPEA2, and IBEA algorithms from the PISA package. Another studied effect is the size of population versus number of generations for small populations. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1031 / 1057

页数：27

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