DocumentCode :
3158940
Title :
Honey Bee Social Foraging Algorithms for Resource Allocation, Part II: Application
Author :
Quijano, Nicanor ; Passino, Kevin M.
Author_Institution :
Univ. de los Andes, Bogota
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
3389
Lastpage :
3394
Abstract :
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.
Keywords :
optimisation; resource allocation; social sciences; Nash equilibirium; biological systems; dynamic voltage allocation problem; honey bee social foraging algorithms; interconnected grid; resource allocation; Ant colony optimization; Biological control systems; Control systems; Distributed control; Lamps; Optimal control; Resource management; Temperature control; Temperature sensors; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4282168
Filename :
4282168
Link To Document :
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