Abstract
In this paper, we propose a new optimization method 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.
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Astudillo, L., Melin, P., Castillo, O. (2010). A New Optimization Method Based on a Paradigm Inspired by Nature. In: Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Recognition Based on Biometrics. Studies in Computational Intelligence, vol 312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15111-8_17
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DOI: https://doi.org/10.1007/978-3-642-15111-8_17
Publisher Name: Springer, Berlin, Heidelberg
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