Title :
Real-Coded Genetic Algorithm for Constrained Optimization Problem
Author :
Zhang, Guo-li ; Li, Geng-Yin ; Ma, Jian-Wei
Author_Institution :
North China Electr. Power Univ., Baoding
Abstract :
This paper proposes a new constraint direct disposal method (GA-CDD), which need not penalty factor, is a universal method dealing with constraint. In order to increase convergence velocity and get global optimal solution, a skill of reserving some unfeasible solution was introduced. The experiment study has shown that the method proposed in this paper is very effective, especially the optimal solution locating in the border of the feasible region
Keywords :
genetic algorithms; constrained optimization problem; constraint direct disposal method; convergence velocity; real-coded genetic algorithm; Computational modeling; Constraint optimization; Cybernetics; Evolutionary computation; Genetic algorithms; Genetic mutations; Machine learning; Minimization methods; Optimization methods; Robustness; Simulated annealing; Stochastic processes; Constrained optimization problem; constraint direct disposal; genetic algorithm; real-coded; reserving unfeasible solution;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259005
