83 search results - page 10 / 17 » Population Diversity in Permutation-Based Genetic Algorithm |
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
Traditionally, the mutation rates of genetic algorithms are fixed or decrease over the generations. Although it seems to be reasonable for classical genetic algorithms, it may not...
TSMC
2002
14 years 9 months ago
2002
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
JCP
2008
14 years 9 months ago
2008
In this paper, gene sets, instead of individual genes, are used in the genetic process to speed up convergence. A gene-set mutation operator is proposed, which can make several nei...
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
Many evolutionary algorithms have been lately developed for solving multiobjective problems, appealing or not to the Pareto optimality concept. Although, the evolutionary technique...
GECCO
2005
Springer
15 years 2 months ago
2005
Springer
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...