Agent-Based Multi-Objective Evolutionary Algorithm with Sexual Selection

被引：1
|
作者：
Drezewski, Rafal [1 ]
Siwik, Leszek [1 ]
机构：
[1] AGH Univ Sci & Technol, Dept Comp Sci, Krakow, Poland
来源：
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/CEC.2008.4631296
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Evolutionary algorithms are (meta-)heuristic techniques used in the case of search, optimization, and adaptation problems, which cannot be solved with the use of traditional methods. Sexual selection mechanism helps to maintain the population diversity in evolutionary algorithms. In this paper the agent-based realization of multi-objective evolutionary algorithm with sexual selection mechanism is presented. The system is evaluated with the use of Zitzler's test problems and compared to "classical" multi-objective evolutionary algorithms.
引用
收藏
页码：3679 / 3684
页数：6
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