Abstract
In this research work, we used the Chemical Reaction Algorithm (CRA) for solving optimization problems. The used optimization algorithm is based on an abstraction of chemical reactions. The main goal of the method is to dynamically adjust the parameters of the reactions in the range from 0.1 to 1. The impact of using fixed parameters in the CRA is discussed and then a strategy for efficiently tuning these parameters using fuzzy logic is presented. The Fuzzy CRA algorithm was successfully applied on different benchmarking optimization problems. The results of simulations and comparison studies demonstrate the effectiveness and efficiency of the proposed approach.
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Acknowledgment
We would like to express our gratitude to CONACYT, and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.
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de la O, D., Castillo, O., Astudillo, L., Soria, J. (2018). Fuzzy Chemical Reaction Algorithm with Dynamic Adaptation of Parameters. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_13
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DOI: https://doi.org/10.1007/978-3-319-67137-6_13
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