Heuristic methods for evolutionary computation techniques

Heuristic methods for evolutionary computation techniques

0.00 Avg rating0 Votes
Article ID: iaor20002948
Country: United States
Volume: 1
Issue: 3
Start Page Number: 177
End Page Number: 206
Publication Date: Jul 1995
Journal: Journal of Heuristics
Authors:
Keywords: evolutionary algorithms, genetic algorithms
Abstract:

Evolutionary computation techniques, which are based on a powerful principle of evolution, survival of the fittest, constitute and interesting category of heuristic search. In other words, evolutionary techniques are stochastic algorithms whose search methods model some natural phenomena: genetic inheritance and Darwinian strife for survival. Any evolutionary algorithm applied to a particular problem must address the issue of genetic representation of solutions to the problem and genetic operators that would alter the genetic composition of offspring during the reproduction process. However, additional heuristics should be incorporated in the algorithm as well; some of these heuristic rules provide guidelines for evaluating (feasible and infeasible) individuals in the population. This paper surveys such heuristics and discusses their merits and drawbacks.

Reviews

Required fields are marked *. Your email address will not be published.