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Applied Computational Intelligence and Soft Computing
Volume 2011 (2011), Article ID 138078, 12 pages
http://dx.doi.org/10.1155/2011/138078
Research Article

Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems

1INRIA Nancy—Grand Est/LORIA, 615 Rue du Jardin Botanique, 54600 Villers-Lès-Nancy, France
2LMIA—MAGE, Université de Haute-Alsace, 4 Rue des Frères Lumière, 68093 Mulhouse, France
3IECN—LORIA, Nancy-Université, Université Henri Poincaré, 54506 Vandoeuvre-Lès-Nancy, France

Received 31 December 2010; Revised 22 March 2011; Accepted 11 April 2011

Academic Editor: Chuan-Kang Ting

Copyright © 2011 Lhassane Idoumghar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Lhassane Idoumghar, Mahmoud Melkemi, René Schott, and Maha Idrissi Aouad, “Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems,” Applied Computational Intelligence and Soft Computing, vol. 2011, Article ID 138078, 12 pages, 2011. doi:10.1155/2011/138078