A perturbed particle swarm optimization using harmony search and mutation

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dc.contributor.authorPhuchan, Wikrom
dc.contributor.authorKruatrachue, Boontee
dc.date.accessioned2026-08-06T10:29:02Z
dc.date.available2026-08-06T10:29:02Z
dc.date.issued2020-07-01
dc.description.abstractThis paper applies the harmony search (HS) and mutation to lessens the stagnant of PSO. When a particle stops improving, it is mutated or replace by a position value created from harmony memory, which memorized improve locations of particles (Pbest) in search space. Another HS generates the best position among all particles (Gbest) to replace stagnant Gbest to sway the swarm from the trapping location. This HS has another harmony memory that contains improving Gbest. The results of the proposed algorithm are compared with related modified-PSO using 27 benchmark functions. The proposed algorithm locates optimum in more benchmark functions with faster execution.
dc.identifier.citationProceedings 2020 6th International Conference on Engineering Applied Sciences and Technology Iceast 2020, 2020
dc.identifier.doi10.1109/ICEAST50382.2020.9165425
dc.identifier.other2-s2.0-85091975139
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/11076
dc.sourceProceedings 2020 6th International Conference on Engineering Applied Sciences and Technology Iceast 2020
dc.subjectHarmony search
dc.subjectLocal optimum
dc.subjectMutation
dc.subjectParticle swarm optimization
dc.subjectTrapping
dc.titleA perturbed particle swarm optimization using harmony search and mutation
dc.typeConference Paper

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