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Fine-grained parallel genetic algorithm:a global...
Journal article

Fine-grained parallel genetic algorithm:a global convergence criterion

Abstract

This paper presents a fine-grained parallel genetic algorithm with mutation rate as a control parameter. The function of the mutation rate is similar to the temperature parameter in the simulated annealing [3,8,10]. The motivation behind this research is to develop a global convergence theory for the fine-grained parallel genetic algorithms based on the simulated annealing model There is a mathematical difficulty associated with the genetic …

Authors

Muhammad A; Bargiela A; King G

Journal

International Journal of Computer Mathematics, Vol. 73, No. 2, pp. 139–155

Publisher

Taylor & Francis

Publication Date

1 1999

DOI

10.1080/00207169908804885

ISSN

0020-7160