Chemical Reaction Algorithm to Control Problems
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-35445-9_16
Reference27 articles.
1. Astudillo, L., Melin, P., Castillo, O.: Nature optimization applied to design a type-2 fuzzy controller for an autonomous mobile robot. In: 2012 Fourth World Congress on de Nature and Biologically Inspired Computing (NaBIC) (2012)
2. Melin, P., Astudillo, L., Castillo, O., Valdez, F., Garcia, M.: Optimal design of type-2 and type-1 fuzzy tracking controllers for autonomous mobile robots under perturbed torques using a new chemical optimization paradigm. Expert Syst. Appl. 40(8), 3185–3195 (2013)
3. Astudillo, L., Melin, P., Castillo, O.: Introduction to an optimization algorithm based on the chemical reactions. Inf. Sci. 291, 85–95 (2015)
4. Sanchez, C., Melin, P., Astudillo, L.: Chemical optimization method for modular neural networks applied in emotion classification. In: Castillo, O., Melin, P., Kacprzyk, J. (eds.) Recent Advances on Hybrid Approaches for Designing Intelligent Systems, vol. 547, pp. 381–390. Springer, Berlin (2014)
5. de la O.D., Castillo, O., Melendez, A., Astudillo, L.: Optimization of a reactive controller for mobile robots based on CRA. In: Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), IEEE, pp. 1–6, Aug 2015
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