Evaluation of Novel Adaptive Evolutionary Programming on Four Constraint Handling Techniques

被引：18
|
作者：
Mallipeddi, R. [1 ]
Suganthan, P. N. [1 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/CEC.2008.4631349
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents empirical studies carried out to evaluate the performance of different constraint handling methods on Constrained Real-Parameter Optimization using a novel adaptive Evolutionary Programming (EP). 25 runs have been conducted for each of the 13 test problems considered. Our experimental results show that no single Constraint Handling method can be the best for all problems Le, each Constraint Handling method is suitable only for a subset of problems. We also show that the novel adaptive EP proposed in this paper has improved performance over the Classical EP (CEP).
引用
收藏
页码：4045 / 4052
页数：8
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