Article
Empirical investigation of the benefits of partial Lamarckianism.
Evolutionary computation - 1 Jan 1997
Houck C R, Joines J A, Kay M G, Wilson J R
Abstract excerpt
Genetic algorithms (GAs) are very efficient at exploring the entire search space; however, they are relatively poor at finding the precise local optimal solution in the region in which the algorithm converges. Hybrid GAs are the combination of improvement procedures, which are good at finding local optima, and GAs. There are two basic strategies for using hybrid GAs. In the first, Lamarckian learning, the genetic...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.