A new optimization algorithn based on a paradigm inspired by nature

• Autorzy: Astudillo L. , Melin P. , Castillo O.
• Konferencja: International Seminar on Computational Intelligence held at Tijuana, Mexico on January of 2010
• Języki publikacji: EN

Abstrakty

EN

In this paper, we propose a new optimization algorithm for soft computing problems, which is inspired on a nature paradigm: the reaction methods existing on chemistry, and the way the elements combine with each other to form compounds, in other words, quantum chemistry. This paper is the first approach for the proposed method, and it presents the background, main ideas, desired goals and preliminary results in optimization.

Słowa kluczowe

EN

natural computing; novel optimization method; chemical reactions paradigm

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2011
• Tom: Vol. 5, No. 1
• Strony: 95--100
• Opis fizyczny: Bibliogr. 16 poz., rys.

Twórcy

autor

Astudillo L.

autor

Melin P.

autor

Castillo O.

• Tijuana Institute of Technology, Tijuana México,

Bibliografia

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• [3] Melin P., Mancilla A., Lopez M., Solano D., Soto M., Castillo O., “Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks”, Advances in Soft Computing , vol. 39, no. 1, 2007, pp. 105-114.
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• [16] GEATbx: Example Functions (single and multi-objective functions), http://www.geatbx.com/docu/fcnindex01.html#P89_3085