Analyzing the effects of module encapsulation on search space bias

  • Authors:
  • Ozlem O. Garibay;Annie S. Wu

  • Affiliations:
  • University of Central Florida, Orlando, FL;University of Central Florida, Orlando, FL

  • Venue:
  • Proceedings of the 9th annual conference on Genetic and evolutionary computation
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field 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 effects of introducing modularity to evolutionary search, however, are not well understood. This paper focuses on analyzing the effects of modularity on evolutionary computation. In particular, we analyze the effects of modular representations on the search space bias.