Title :
A Game Model Based Co-evolutionary Algorithms for Multiobjective Optimization Problems
Author :
Wang, Gaoping ; Wang, Yongji
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
In this paper, we discuss multiobjective optimization problems solved by co-evolutionary algorithms. We present a game model based co-evolutionary algorithm (GMBCA) to solve this class of problems and its performance is analyzed in comparing its results with those obtained with four others algorithms. Finally, the GMBCA is applied to solve the nutrition decision making problem to map the Pareto-optimum front. The results in the problem show its effectiveness
Keywords :
decision making; evolutionary computation; game theory; optimisation; Pareto-optimum front; coevolutionary algorithm; game model; multiobjective optimization problem; nutrition decision making problem; Algorithm design and analysis; Constraint optimization; Control engineering; Cost function; Decision making; Evolutionary computation; Game theory; Genetic algorithms; Information science; Performance analysis;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.382
