Population Based Incremental Learning with Guided Mutation Versus Genetic Algorithms: Iterated Prisoners Dilemma

Timothy Gosling, Nanlin Jin, Edward Tsang

Research output: Contribution to conferencePaperpeer-review

8 Citations (Scopus)

Abstract

Axelrod's original experiments for evolving IPD player strategies involved the use of a basic GA. In this paper we examine how well a simple GA performs against the more recent Population Based Incremental Learning system under similar conditions. We find that GA performs slightly better than standard PBIL under most conditions. This differnce in performance can be mitigated and reversed through the use of a 'guided' mutation operator.
Original languageEnglish
Publication statusPublished - 2005
EventCongress on Evolutionary Computation - Edinburgh, Scotland
Duration: 1 Jan 2005 → …

Conference

ConferenceCongress on Evolutionary Computation
Period1/01/05 → …

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