Modified Differential Evolution for Constrained Optimization Problems

被引:0
作者
Ali, Musrrat [1 ]
Pant, Millie [2 ]
机构
[1] Amity Univ Noida, Noida, Uttar Pradesh, India
[2] IIT Roorkee, Roorkee, Uttar Pradesh, India
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 1 | 2012年 / 130卷
关键词
Differential evolution; constraints; mixed strategy;
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
differential evolution (DE) is well known optimization tool for solving global optimization problems. In the present study we present a DE variant called MSDE [22] for solving constrained optimization problems. The proposed algorithm is applied on a set of 6 constrained benchmark problems proposed in CEC 2006 [1]. Numerical results indicate the competence of the proposed algorithm.
引用
收藏
页码:933 / +
页数:3
相关论文
共 19 条
[1]  
Ali M, 2011, INT J INNOV COMPUT I, V7, P5063
[2]  
[Anonymous], 2006005 NAN TECHN U
[3]  
Becerra R.L., 2005, COMPUT METHODS APPL
[4]   Self-adaptive differential evolution algorithm in constrained real-parameter optimization [J].
Brest, Janez ;
Zumer, Viljem ;
Maucec, Mirjam Sepesy .
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 2006, :215-+
[5]   Hybrid method of evolutionary algorithms for static and dynamic optimization problems with application to a fed-batch fermentation process [J].
Chiou, JP ;
Wang, FS .
COMPUTERS & CHEMICAL ENGINEERING, 1999, 23 (09) :1277-1291
[6]   An efficient constraint handling method for genetic algorithms [J].
Deb, K .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2000, 186 (2-4) :311-338
[7]  
Huang V.L., 2006, P IEEE C EV COMP, P223
[8]  
Lampinen J., 2001, Proceedings of the IASTED International Conference. Artificial Intelligence and Applications, P177
[9]  
Lampinen J, 2002, IEEE C EVOL COMPUTAT, P1468, DOI 10.1109/CEC.2002.1004459
[10]  
Lampinen J., 2007, P MENDEL 1999 5 INT, P71