Title :
Artificial Bee Colony Inspired Algorithm Applied to Fusion Research in a Grid Computing Environment
Author :
Gomez-Iglesias, Antonio ; Vega-Rodriguez, Miguel A. ; Castejon, Francisco ; Cardenas-Montes, Miguel ; Morales-Ramos, Enrique
Author_Institution :
Nat. Fusion Lab., CIEMAE, Madrid, Spain
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.
Keywords :
artificial intelligence; grid computing; nuclear engineering computing; nuclear fusion; optimisation; ABC algorithm; artificial bee colony algorithm; grid computing environment; honey bee swarm; nuclear fusion research; optimisation algorithm; plasma physics research; Computer interfaces; Distributed computing; Fusion reactors; Grid computing; Helium; Particle swarm optimization; Physics computing; Plasma confinement; Plasma devices; Resource management; Artificial Bee Colony; Equilibrium; Grid Computing; Nuclear Fusion;
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2010 18th Euromicro International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-5672-7
Electronic_ISBN :
1066-6192
DOI :
10.1109/PDP.2010.50