DocumentCode :
1651297
Title :
An evolution strategy for multiobjective optimization
Author :
Costa, Lino ; Oliveira, Pedro
Author_Institution :
Departamento de Producao e Sistemas, Univ. do Minho, Braga, Portugal
Volume :
1
fYear :
2002
Firstpage :
97
Lastpage :
102
Abstract :
Almost all approaches to multiobjective optimization are based on genetic algorithms, and implementations based on evolution strategies (ESs) are very rare. In this paper, a new approach to multiobjective optimization, based on ESs, is presented. The comparisons with other algorithms indicate a good performance of the Multiobjective Elitist Evolution Strategy
Keywords :
evolutionary computation; Multiobjective Elitist Evolution Strategy; evolution strategies; experiments; genetic algorithms; multiobjective optimization; performance evaluation; Electronic switching systems; Evolutionary computation; Genetic algorithms; Genetic mutations; Size control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
Type :
conf
DOI :
10.1109/CEC.2002.1006216
Filename :
1006216
Link To Document :
بازگشت