Title

Analyzing The Effects Of Module Encapsulation On Search Space Bias

Keywords

Genetic algorithms; Modularity; Search algorithms

Abstract

Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the »eld of evolutionary computation show that the use of modularity improves performance and scalability of evolutionary algorithms for certain applications. [5, 12, 15, 16, 17]. The e«ects of introducing modularity to evolutionary search, however, are not well understood. This paper focuses on analyzing the e®ects of modularity on evolutionary computation. In particular, we analyze the e®ects of modular representations on the search space bias. Copyright 2007 ACM.

Publication Date

8-27-2007

Publication Title

Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

Number of Pages

1234-1241

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/1276958.1277196

Socpus ID

34548103285 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34548103285

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