An Artificial Immune Network for Multi-objective Optimization

被引：0
|
作者：
Lanaridis, Aris [1 ]
Stafylopatis, Andreas [1 ]
机构：
[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Intelligent Syst Lab, Athens 15780, Greece
来源：
ARTIFICIAL NEURAL NETWORKS-ICANN 2010, PT II | 2010年 / 6353卷
关键词：
Artificial Immune Networks; Pareto Front; Multiobjective Optimization; Computational Intelligence;
D O I：
暂无
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 a method for approximating the Pareto front of a given function using Artificial Immune Networks. The proposed algorithm uses cloning and mutation to create local subsets of the Pareto front, and combines elements of these local fronts in a way that maximizes the diversity. The method is compared against SPEA and NSGA-II in a number of problems from the ZDT test suite, yielding satisfactory results.
引用
收藏
页码：531 / 536
页数：6
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