Title :
Parallel genetic algorithm with the dynamic control parameter
Author_Institution :
Inst. of Biocybernetics & Biomed. Eng., Polish Acad. of Sci., Warsaw, Poland
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;
Conference_Titel :
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2902-3
DOI :
10.1109/ICEC.1996.542383
