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
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;
Conference_Titel :
Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on
Print_ISBN :
0-7695-2286-6
DOI :
10.1109/ISDA.2005.99
