Now showing items 11-15 of 15
Adaptive mutation using statistics mechanism for genetic algorithms
It has long been recognized that mutation is a key ingredient in genetic algorithms (GAs) and the choice of suitable mutation probability will have a significant effect on the performance of genetic search. In this paper, ...
A new genetic algorithm based on primal-dual chromosomes for royal road functions
Genetic algorithms (GAs) have been broadly studied by a huge amount of researchers and there have been many variations developed based on Holland's simple genetic algorithm (SGA). Inspired by the phenomenon of diploid ...
Genetic algorithms based on primal-dual chromosomes for royal road functions
(WSEAS Press, 2002-02)
Genetic algorithms (GAs) have been broadly studied by a huge amount of researchers and there are many variations developed based on Holland’s simple genetic algorithm (SGA). Inspired by the idea of diploid genotype and ...
Evolutionary algorithms in dynamic environments
(Northeastern University Press， China, 2007-02)
Evolutionary algorithms (EAs) are widely and often used for solving stationary optimization problems where the fitness landscape or objective function does not change during the course of computation. However, the environments ...
Hybrid genetic algorithm based on bin packing strategy for the unrelated parallel workgroup scheduling problem
In this paper we focus on an unrelated parallel workgroup scheduling problem where each workgroup is composed of a number of personnel with similar work skills which has eligibility and human resource constraints. The ...