Browsing by Autor "Kevin M. Passino"

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    Honey Bee Social Foraging Algorithms for Resource Allocation, Part I: Algorithm and Theory
    (Institute of Electrical and Electronics Engineers, 2007) Nicanor Quijano; Kevin M. Passino
    A model of honey bee social foraging is introduced to create an algorithm that solves a class of optimal resource allocation problems. We prove that if several such algorithms compete in the same problem domain, the strategy they use is a special type of evolutionarily stable strategy. Moreover, for a single or multiple hives we prove that an ideal free distribution is achieved, and that the allocation strategy is globally optimal. In the companion paper [Quijano, N., et al., 2007] we illustrate the practical utility of these results via a multizone temperature control experiment.
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    Honey Bee Social Foraging Algorithms for Resource Allocation, Part II: Application
    (Institute of Electrical and Electronics Engineers, 2007) Nicanor Quijano; Kevin M. Passino
    Bioinspired 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.