Gender-specific genetic algorithms

被引：0
作者：
Drezner, Tammy [1 ]
Drezner, Zvi [1 ]
机构：
[1] Calif State Univ Fullerton, Coll Business & Econ, Fullerton, CA 92834 USA
来源：
INFOR | 2006年 / 44卷 / 02期
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we propose to incorporate gender in genetic algorithms. Existing genetic algorithms are gender-neutral. Every genetic algorithm which is gender-neutral can be easily constructed as a gender-specific genetic algorithm. We compared the performance of the gender-neutral and its gender-specific counterpart on four optimization problems and the gender-specific algorithm exhibited superior performance. A statistical analysis allows this conclusion to be stated with 99.5% confidence.
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页码：117 / 127
页数：11
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