Combining GP operators with SA search to evolve fuzzy rule based classifiers

TitleCombining GP operators with SA search to evolve fuzzy rule based classifiers
Publication TypeJournal Article
Year of Publication2001
AuthorsSánchez, Luciano, Couso Inés, and Corrales J.A.
JournalInformation Sciences
Volume136
Number1
Pagination175 - 191
ISSN0020-0255
KeywordsFuzzy classification, genetic algorithms, Genetic programming, Simulated annealing
Abstract

The genotype–phenotype encoding of fuzzy rule bases in GA, along with their corresponding crossover and mutation operators, can be used by other search schemes, improving the behavior of these last ones. As a practical consequence of this, a simulated annealing-based method for inducting both parameters and structure of a fuzzy classifier has been developed. The adjacency operator in SA has been replaced with a macromutation taken from tree-shaped genotype GAs. We will show that results of SA search are similar to those of GP in both the efficiency of the learned classifiers and in its linguistic interpretability, while the memory consumption of the learning process is lower.

Notes

Recent Advances in Genetic Fuzzy Systems

URLhttp://www.sciencedirect.com/science/article/pii/S0020025501001463
DOI10.1016/S0020-0255(01)00146-3