Use of Mendelian pressure in a multi-objective genetic algorithm

被引：0
|
作者：
Kadrovach, BA [1 ]
Zydallis, JB [1 ]
Lamont, GB [1 ]
机构：
[1] USAF, Inst Technol, Dept Elect & Comp Engn, Grad Sch Engn & Management, Wright Patterson AFB, OH 45433 USA
来源：
CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2002年
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：
Significant work has been conducted in developing techniques for multi-objective problem (MOP) optimizations. This paper investigates the use of a Mendel-like dominance scheme for improving the efficiency of a MOP genetic algorithm. This paper shows, for the selected MOP test suite, that the mendelian GA outperforms a simple GA.
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收藏
页码：962 / 967
页数：6
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