Honey Bee Social Foraging Algorithms for Resource Allocation, Part II: Application

dc.contributor.authorNicanor Quijano
dc.contributor.authorKevin M. Passino
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:43:21Z
dc.date.available2026-03-22T14:43:21Z
dc.date.issued2007
dc.descriptionCitaciones: 33
dc.description.abstractBioinspired solutions to technological problems exploit robust and optimal solutions evolved for biological systems via natural selection. In [1] a honey bee social foraging algorithm was introduced. It was shown that if several such algorithms ("hives") compete in the same problem domain, the strategy they use is a Nash equilibrium and that the allocation strategy is globally optimal. To illustrate the practical utility of the theoretical results and algorithm in this paper we show how it can solve a dynamic voltage allocation problem to achieve a maximum uniformly elevated temperature in an interconnected grid of temperature zones.
dc.identifier.doi10.1109/acc.2007.4282168
dc.identifier.urihttps://doi.org/10.1109/acc.2007.4282168
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/48164
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofProceedings of the ... American Control Conference/Proceedings of the American Control Conference
dc.sourceUniversidad de Los Andes
dc.subjectForaging
dc.subjectExploit
dc.subjectMathematical optimization
dc.subjectComputer science
dc.subjectResource allocation
dc.subjectSelection (genetic algorithm)
dc.subjectDomain (mathematical analysis)
dc.subjectNash equilibrium
dc.subjectGrid
dc.subjectResource management (computing)
dc.titleHoney Bee Social Foraging Algorithms for Resource Allocation, Part II: Application
dc.typearticle

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