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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167477
