DocumentCode
3060564
Title
Variable size population in parallel evolutionary algorithms
Author
Minetti, Gabriela F. ; Alfonso, Hugo A.
Author_Institution
Fac. de Ingenieria, Univ. Nat. de La Pampa, Argentina
fYear
2005
fDate
8-10 Sept. 2005
Firstpage
350
Lastpage
355
Abstract
Considering the population size is a critical parameter to define in evolutionary computation, in this paper an improved parallel evolutionary algorithm that incorporates different mechanisms to adapt the population size to the current status, is presented. Those mechanisms are based on resizing on fitness improvement GA (PRoFIGA) and variable population size (GAVaPS). Results indicate these incorporations are a reasonable choice when refinement in solutions is necessary.
Keywords
evolutionary computation; parallel algorithms; GAVaPS mechanism; PRoFIGA mechanism; parallel evolutionary algorithms; variable size population; Biological cells; Biology computing; Evolution (biology); Evolutionary computation; Frequency; Genetic algorithms; Genetic mutations; Intelligent systems; Proposals; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on
Print_ISBN
0-7695-2286-6
Type
conf
DOI
10.1109/ISDA.2005.99
Filename
1578810
Link To Document