Evolutionary computation using Island populations in time

  • Authors:
  • Ben Prime;Tim Hendtlass

  • Affiliations:
  • Centre for Intelligent Systems and Complex Processes, School of Information Technology, Swinburne University of Technology;Centre for Intelligent Systems and Complex Processes, School of Information Technology, Swinburne University of Technology

  • Venue:
  • IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper demonstrates that the reintroduction of genetic information from past generations can be used to alter the genetic diversity and convergence characteristics of an evolutionary algorithm (EA). Traditional EAs breed a new generation from the preceding generation: in this work a new generation is bred from the preceding generations. The gene reuse scheme described in this paper allows control of the genetic diversity of the population with a resulting beneficial effect on the convergence performance.