Roulette wheel selection applied to PSO on numerical function in discrete and continuous space

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dc.contributor.authorOunsrimuang, Pimolrat
dc.contributor.authorNootyaskool, Supakit
dc.date.accessioned2026-08-06T10:14:02Z
dc.date.available2026-08-06T10:14:02Z
dc.date.issued2016-07-22
dc.description.abstractParticle Swarm Optimization (PSO) successfully finds a solution as shown in various literatures. In some problems creating on discrete space, adjustment control-parameter may be difficult to modify a reach of optimum solution. The paper proposes an approach applying roulette wheel selection to PSO, which can help PSO escape from a local solution. This approach tested on both continuous and discrete space by finding solution of 12-numerical functions and an engineering-problem. The experiment result showed that the proposed technique can help PSO getting the best result both problem spaces, the performance improvement but also maintain easily to implementation.
dc.identifier.citationProceedings 2016 IEEE Region 10 Symposium Tensymp 2016, 361-366, 2016
dc.identifier.doi10.1109/TENCONSpring.2016.7519433
dc.identifier.other2-s2.0-84992108950
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/6929
dc.sourceProceedings 2016 IEEE Region 10 Symposium Tensymp 2016
dc.subjectnumerical function
dc.subjectparticle swarm optimization
dc.subjectroulette wheel selection
dc.titleRoulette wheel selection applied to PSO on numerical function in discrete and continuous space
dc.typeConference Paper

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