DocumentCode
2436744
Title
A non-generational genetic algorithm for multiobjective optimization
Author
Borges, Carlos C H ; Barbosa, Helio J C
Author_Institution
COPPE, Univ. Federal do Rio de Janeiro, Brazil
Volume
1
fYear
2000
fDate
2000
Firstpage
172
Abstract
In this paper a non-generational genetic algorithm for multiobjective optimization problems is proposed. For each element in the population a domination count is defined together with a neighborhood density measure based on a sharing function. Those two measures are then nonlinearly combined in order to define the individual´s fitness. Numerical experiments with four test-problems taken from the evolutionary multiobjective literature are performed and the results are compared with those obtained by other evolutionary techniques
Keywords
genetic algorithms; domination count; evolutionary techniques; multiobjective optimization; neighborhood density measure; nongenerational genetic algorithm; numerical experiments; sharing function; Density measurement; Design optimization; Genetic algorithms; Performance evaluation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location
La Jolla, CA
Print_ISBN
0-7803-6375-2
Type
conf
DOI
10.1109/CEC.2000.870292
Filename
870292
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