Artificial Bee Colony Inspired Algorithm Applied to Fusion Research in a Grid Computing Environment

Authors:
Antonio Gómez-Iglesias;Miguel A. Vega-Rodríguez;Francisco Castejón;Miguel Cárdenas-Montes;Enrique Morales-Ramos
Affiliations:
-;-;-;-;-
Venue:
PDP '10 Proceedings of the 2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing
Year:
2010

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Abstract

Artificial Bee Colony (ABC) algorithm is an optimisation algorithm based on the intelligent behaviour of honey bee swarm. In this work, ABC algorithm is used to optimise the equilibrium of confined plasma in a nuclear fusion device. Plasma physics research for fusion still presents open problems that need a large computing capacity to be solved. This optimisation process is a long time consuming process so an environment like grid computing has to be used, thus the first step is to adapt and extend the ABC algorithm to use the grid capabilities. In this work we present a modification of the original ABC algorithm, its adaption to a grid computing environment and the application of this algorithm to the equilibrium optimisation process.