Abstract
The paper presents a new distributed Multilevel Ant Stigmergy Algorithm (MASA) for minimizing the power losses in an electric motor by optimizing the independent geometrical parameters of the rotor and the stator. The efficiency of the algorithm, in sequential form, to solve that particular optimization problem has already been shown in literature. However, even if this method offers good quality of solution, it still needs considerable computational time. With distributed implementation of the MASA the computation time is drastically decreased (from one day to few hours) without any noticeable loss in solution quality.
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Šilc, J., Korošec, P. (2006). The Distributed Stigmergic Algorithm for Multi-parameter Optimization. In: Wyrzykowski, R., Dongarra, J., Meyer, N., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2005. Lecture Notes in Computer Science, vol 3911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752578_12
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DOI: https://doi.org/10.1007/11752578_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34141-3
Online ISBN: 978-3-540-34142-0
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