A new adaptive penalty scheme for genetic algorithms

被引:85
作者
Barbosa, HJC
Lemonge, ACC
机构
[1] MCT, LNCC, BR-25651070 Petropolis, RJ, Brazil
[2] Univ Fed Juiz Fora, Fac Engn, Dept Estruturas, BR-36036330 Juiz De Fora, MG, Brazil
关键词
D O I
10.1016/S0020-0255(03)00177-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A parameter-less adaptive penalty scheme for genetic algorithms applied to constrained optimization problems is proposed. The performance of this new scheme is examined using test problems from the evolutionary computation literature as well as structural engineering constrained optimization problems. (C) 2003 Elsevier Inc. All rights reserved.
引用
收藏
页码:215 / 251
页数:37
相关论文
共 36 条
[1]   AUGMENTED LAGRANGIAN GENETIC ALGORITHM FOR STRUCTURAL OPTIMIZATION [J].
ADELI, H ;
CHENG, NT .
JOURNAL OF AEROSPACE ENGINEERING, 1994, 7 (01) :104-118
[2]  
[Anonymous], LNCS
[3]  
Barbosa H. J. C., 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), P1605, DOI 10.1109/CEC.1999.785466
[4]  
BEAN JC, 1992, 9253 U MICH DEP IND
[5]  
Ben Hamida S., 2000, Parallel Problem Solving from Nature PPSN VI. 6th International Conference. Proceedings (Lecture Notes in Computer Science Vol.1917), P529
[6]  
Coit D. W., 1996, INFORMS Journal of Computing, V8, P173, DOI 10.1287/ijoc.8.2.173
[7]   Evolutionary algorithms approach to the solution of mixed integer non-linear programming problems [J].
Costa, L ;
Oliveira, P .
COMPUTERS & CHEMICAL ENGINEERING, 2001, 25 (2-3) :257-266
[8]   An efficient constraint handling method for genetic algorithms [J].
Deb, K .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2000, 186 (2-4) :311-338
[9]  
Erba E, 2000, CLIN CANCER RES, V6, p4508S
[10]  
Gellatly R., 1971, AFFDLTR70165