Random number generators in Genetic Algorithms for unconstrained optimization

A genetic algorithm (GA) is a search technique used to find approximate solutions to optimization and search problems. This technique has been implemented using several pseudo- and quasi-random number generators and the results of several test examples are presented. The performance of this technique is based on a ranked comparison of relative error

Keywords:

Genetic Algorithm , optimization , pseudo-random number , quasi-random number