A Study of Multi-parent Crossover Operators in a Memetic Algorithm

被引:0
|
作者
Wang, Yang [1 ]
Lue, Zhipeng [1 ]
Hao, Jin-Kao [1 ]
机构
[1] Univ Angers, LERIA, F-49045 Angers 01, France
关键词
multi-parent crossover; memetic algorithm; unconstrained quadratic programming; performance analysis; TABU SEARCH;
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
Using unconstrained binary quadratic programming problem as a case study, we investigate the role of multi-parent crossover operators within the memetic algorithm framework. We evaluate the performance of four multi-parent crossover operators (called MSX, Diagonal, U-Scan and OB-Scan) and provide evidences and insights as to why one particular multi-parent crossover operator leads to better computational results than another one. For this purpose, we employ several indicators like population entropy and average solution distance in the population.
引用
收藏
页码:556 / 565
页数:10
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