Adaptive bacterial foraging optimization.
Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2011)
Abstract and Applied Analysis
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Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2011)
Abstract and Applied Analysis
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Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2009)
Discrete Dynamics in Nature and Society
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Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan, Li, Xuhui (2010)
Mathematical Problems in Engineering
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Lian, Zhigang (2010)
Discrete Dynamics in Nature and Society
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Enrique Alba, Francisco Luna, Antonio Nebro (2004)
International Journal of Applied Mathematics and Computer Science
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In this paper we address an extension of a very efficient genetic algorithm (GA) known as Hy3, a physical parallelization of the gradual distributed real-coded GA (GD-RCGA). This search model relies on a set of eight subpopulations residing in a cube topology having two faces for promoting exploration and exploitation. The resulting technique has been shown to yield very accurate results in continuous optimization by using crossover operators tuned to explore and exploit the solutions...
Mesloub, Said, Mansour, Abdelouahab (2009)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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Krzysztof Trojanowski (2010)
Control and Cybernetics
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Goran Martinović, Dražen Bajer, Bruno Zorić (2014)
International Journal of Applied Mathematics and Computer Science
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Goran Martinović, Dražen Bajer, Bruno Zorić (2014)
International Journal of Applied Mathematics and Computer Science
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Jozef Kratica, Dušan Tošic, Vladimir Filipović, Ivana Ljubić (2001)
RAIRO - Operations Research - Recherche Opérationnelle
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The simple plant location problem (SPLP) is considered and a genetic algorithm is proposed to solve this problem. By using the developed algorithm it is possible to solve SPLP with more than 1000 facility sites and customers. Computational results are presented and compared to dual based algorithms.
Thomas Stützle, Sebastian Linke (2002)
Mathware and Soft Computing
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A number of extensions of Ant System, the first ant colony optimization (ACO) algorithm, were proposed in the literature. These extensions typically achieve much improved computational results when compared to the original Ant System. However, many design choices of Ant System are left untouched including the fact that solutions are constructed, that real-numbers are used to simulate pheromone trails, and that explicit pheromone evaporation is used. In this article we experimentally...