The multilevel ant stigmergy algorithm: an industrial case study
Authors
P. Korošec, J. Šilc
Publication
8th Joint Conference on Information Sciences JCIS 2005
Salt Lake City, USA, 21-25 July, 2005
Abstract
The paper presents a new Multilevel Ant Stigmergy Algorithm for minimizing the losses in a universal electro-motor by optimizing the independent geometrical parameters of the rotor and the stator. We have proposed a general approach for translating a multi-parameter problem into a tree representation. To find a solution (a path in the tree) we used a stigmergic system based on an ant colony. The average solution obtained with the Multilevel Ant Stigmergy Algorithm is 25% better than a solution recently found using a genetic algorithm.
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