Nicanor QuijanoKevin M. Passino2026-03-222026-03-22200710.1109/acc.2007.4282168https://doi.org/10.1109/acc.2007.4282168https://andeanlibrary.org/handle/123456789/48164Citaciones: 33Bioinspired 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.enForagingExploitMathematical optimizationComputer scienceResource allocationSelection (genetic algorithm)Domain (mathematical analysis)Nash equilibriumGridResource management (computing)Honey Bee Social Foraging Algorithms for Resource Allocation, Part II: Applicationarticle