A New Metaheuristic Based on the Self-defense Mechanisms of the Plants with a Fuzzy Approach Applied to the CEC2015 Functions
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Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-319-67137-6_12
Reference23 articles.
1. Amador-Angulo, L., Castillo, O.: Optimization of the Type-1 and Type-2 fuzzy controller design for the water tank using the Bee Colony Optimization. In: 2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW), pp. 1–8. IEEE, June 2014
2. Amador-Angulo, L., Castillo, O.: A new algorithm based in the smart behavior of the bees for the design of Mamdani-style fuzzy controllers using complex non-linear plants. In: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, pp. 617–637. Springer International Publishing (2015)
3. Amador-Angulo, L., Castillo, O.: Comparative study of bio-inspired algorithms applied in the design of fuzzy controller for the water tank. In: Recent Developments and New Direction in Soft-Computing Foundations and Applications, pp. 419–438. Springer International Publishing (2016)
4. Amador-Angulo, L., Mendoza, O., Castro, J.R., Rodríguez-Díaz, A., Melin, P., Castillo, O.: Fuzzy sets in dynamic adaptation of parameters of a bee colony optimization for controlling the trajectory of an autonomous mobile robot. Sensors 16(9), 1458 (2016)
5. Awad, N., Ali, M.Z., Reynolds, R.G.: A differential evolution algorithm with success-based parameter adaptation for CEC2015 learning-based optimization. In: 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 1098–1105. IEEE, May 2015
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