Title :
Selection of initial solutions for local search in multiobjective genetic local search
Author :
Ishibuchi, Hisao ; Yoshida, Tadashi ; Murata, Tadahiko
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Abstract :
In multiobjective genetic local search (MOGLS) algorithms, the local search is usually applied to all offsprings generated by genetic operations. This paper proposes an idea of selecting only good offsprings as initial solutions for the local search. Simulation results show that the proposed idea significantly improves the search ability of MOGLS algorithms
Keywords :
convergence of numerical methods; genetic algorithms; search problems; convergence; evolutionary algorithms; genetic algorithms; multicriterion optimization; multiobjective genetic local search; offspring; Evolutionary computation; Genetics; Industrial engineering; Informatics; Large-scale systems;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007053
