Tournament versus Fitness Uniform Selection

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dc.creatorLegg, Shane
dc.creatorHutter, Marcus
dc.creatorKumar, Akshat
dc.date2004-03-23
dc.date.accessioned2026-07-07T03:21:03Z
dc.date.available2026-07-07T03:21:03Z
dc.descriptionIn evolutionary algorithms a critical parameter that must be tuned is that of selection pressure. If it is set too low then the rate of convergence towards the optimum is likely to be slow. Alternatively if the selection pressure is set too high the system is likely to become stuck in a local optimum due to a loss of diversity in the population. The recent Fitness Uniform Selection Scheme (FUSS) is a conceptually simple but somewhat radical approach to addressing this problem - rather than biasing the selection towards higher fitness, FUSS biases selection towards sparsely populated fitness levels. In this paper we compare the relative performance of FUSS with the well known tournament selection scheme on a range of problems.
dc.description10 pages, 8 figures
dc.identifierhttps://arxiv.org/abs/cs/0403038
dc.identifierhttp://arxiv.org/abs/cs/0403038
dc.identifierProc. 2004 Congress on Evolutionary Computation (CEC-2004), pages 2144--2151
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32052
dc.subjectMachine Learning
dc.subjectArtificial Intelligence
dc.subjectI.2; I.2.6; I.2.8; F.2
dc.titleTournament versus Fitness Uniform Selection
dc.typetext

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