DocumentCode
387592
Title
Mind evolutionary computation for the constrained optimization
Author
Jie, Jing ; Zeng, Jian-chao ; Zhang, Su-Lan
Author_Institution
Div. of Syst. Simulation & Comput. Application, Taiyuan Heavy Machinery Inst., China
Volume
3
fYear
2002
fDate
2002
Firstpage
1582
Abstract
In this paper, the mind evolutionary computation (MEC) was applied to solve the constrained optimization problems. First, several concepts are presented and a valid method to handle the constraints is developed based on those concepts. After that, according to the features of the constrained problems, the ´similartaxis´ and dissimilation operators in MEC are redesigned in details. Finally, the simulation results for the nonlinear constrained problem show the effectiveness of the algorithm in solving the constrained problems.
Keywords
constraint handling; constraint theory; genetic algorithms; constrained optimization; constraint handling; dissimilation operators; evolutionary algorithm; mind evolutionary computation; nonlinear constrained problem; similartaxis; Algorithm design and analysis; Computational modeling; Computer applications; Computer simulation; Constraint optimization; Evolutionary computation; Gaussian distribution; Genetic algorithms; Machinery; Scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1167477
Filename
1167477
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