Multi-objective optimization based on self-adaptive differential evolution algorithm

被引：60
作者：
Huang, V. L. [1 ]
Qin, A. K. [1 ]
Suganthan, P. N. [1 ]
Tasgetiren, M. F. [2 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore
[2] Fatih Univ, Dept Management, TR-34500 Istanbul, Turkey
来源：
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/CEC.2007.4424939
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, our recently developed Self-adaptive Differential Evolution algorithm (SaDE) is extended to solve numerical optimization problems with multiple conflicting objectives. The performance of the proposed MOSaDE algorithm is evaluated on a suit of 19 benchmark problems provided for the CEC2007 special session (http://www.ntu.edu.sg/home/epnsugan/)on Performance Assessment of Multi-Objective Optimization Algorithms.
引用
收藏
页码：3601 / +
页数：3
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