Self-adaptive differential evolution algorithm for constrained real-parameter optimization

被引：142

作者：

Huang, V. L. ^{[1
]}

Qin, A. K. ^{[1
]}

Suganthan, P. N. ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore

来源：

2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6 | 2006年

关键词：

D O I：

10.1109/CEC.2006.1688285

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

In this paper, we propose an extension of Self-adaptive Differential Evolution algorithm (SaDE) to solve optimization problems with constraints. In comparison with the original SaDE algorithm, the replacement criterion was modified for handling constraints. The performance of the proposed method is reported on the set of 24 benchmark problems provided by CEC2006 special session on constrained real parameter optimization.

引用

页码：17 / +

页数：3

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