DocumentCode
1644856
Title
Parallel genetic algorithm with the dynamic control parameter
Author
Lis, Joanna
Author_Institution
Inst. of Biocybernetics & Biomed. Eng., Polish Acad. of Sci., Warsaw, Poland
fYear
1996
Firstpage
324
Lastpage
329
Abstract
A parallel genetic algorithm with dynamic mutation probability is presented. This algorithm is based on the farming model of parallel computation. The basic idea of the dynamic establishing mutation rate is presented. Some experiments on function maximization problems have been performed to study the effects of varying the mutation rate for the parallel model
Keywords
genetic algorithms; parallel algorithms; probability; dynamic control parameter; dynamic establishing mutation rate; dynamic mutation probability; farming model; function maximization problems; mutation rate; parallel computation; parallel genetic algorithm; parallel model; Biological cells; Convergence; Cost function; Electronics packaging; Genetic algorithms; Genetic mutations; Optimal control; Robustness; Stochastic processes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location
Nagoya
Print_ISBN
0-7803-2902-3
Type
conf
DOI
10.1109/ICEC.1996.542383
Filename
542383
Link To Document