Performance Measures for Dynamic Multi-Objective Optimization

被引：0

作者：

Camara, Mario ^{[1
]}

Ortega, Julio ^{[1
]}

de Toro, Francisco ^{[2
]}

机构：

[1] Univ Granada, Dept Comp Tecnol & Architecture, E-18071 Granada, Spain

[2] Univ Granada, Dept Signal Theory Telemat & Commun, E-18071 Granada, Spain

来源：

BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1 | 2009年 / 5517卷

关键词：

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：

As most of the performance measures proposed for dynamic optimization algorithms in the literature are only for single objective problems, we propose new measures for dynamic multi-objective problems. Specifically, we give new measures for those problems in which the Pareto fronts are unknown. As these problems are the most common in the industry, our proposed measures constitute an important contribution in order to promote further research on these problems.

引用

页码：760 / +

页数：2

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