DIVERSITY ENHANCED ADAPTIVE EVOLUTIONARY PROGRAMMING FOR SOLVING SINGLE OBJECTIVE CONSTRAINED PROBLEMS

被引：10
|
作者：
Mallipeddi, R. [1 ]
Suganthan, P. N. [1 ]
Qu, B. Y. [1 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 | 2009年
关键词：
D O I：
10.1109/CEC.2009.4983201
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In Evolutionary Algorithms, the occurrence of premature convergence is due to lack of diversity in the population during the search process. The effect may be more predominant if the optimization problem includes constraints. In this paper we propose an explicit memory based diversity enhancement Adaptive Evolutionary Programming (DivEnh-AEP) method to solve constraint optimization problems of CEC 2006.
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页码：2106 / 2113
页数：8
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