Abstract
The proposal described in this paper uses the Differential Evolution (DE) algorithm as an optimization method in which we want to dynamically adapt its parameters using fuzzy logic control systems, with the goal that the fuzzy system calculates the optimal parameter of the DE algorithm to find better results, depending on the type of problems the DE is applied. In this case we consider a fuzzy system to dynamically change the variable F.
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Aguas-Marmolejo, S.J., Castillo, O.: optimization of membership functions for type-1 and type 2 fuzzy controllers of an autonomous mobile robot using PSO. In: Recent Advances on Hybrid Intelligent Systems, pp. 97–104. Springer, Berlin (2013)
Astudillo, L., Melin, P., Castillo, O.: optimization of a fuzzy tracking controller for an autonomous mobile robot under perturbed torques by means of a chemical optimization paradigm. In: Recent Advances on Hybrid Intelligent Systems, pp. 3–20. Springer, Berlin (2013)
Eftekhari, M., Katebi, S.D., Karimi, M., Jahanmir, A.H.: Eliciting transparent fuzzy model using differential evolution. Appl. Soft Comput. 8, 466–476 (2008). (School of Engineering, Shiraz University, Shiraz, Iran)
Fierro, R., Castillo, O.: Design of fuzzy control systems with different PSO variants. In: Recent Advances on Hybrid Intelligent Systems, pp. 81–88. Springer, Berlin (2013)
Hachicha, N., Jarboui, B., Siarry, P.: A fuzzy logic control using a differential evolution algorithm aimed at modelling the financial market dynamics. Inf. Sci. 181, 79–91 (2011). (Institut Supérieur de Commerce et de Comptabilité de Bizerte, Zarzouna 7021, Bizerte, Tunisia)
Lizárraga, E., Castillo, O., Soria, J.: A method to solve the traveling salesman problem using ant colony optimization variants with ant set partitioning. In: Recent Advances on Hybrid Intelligent Systems, pp. 237–2461. Springer, Berlin (2013)
Melendez, A., Castillo, O.: Evolutionary optimization of the fuzzy integrator in a navigation system for a mobile robot. In: Recent Advances on Hybrid Intelligent Systems, pp. 21–31. Springer, Berlin (2013)
Melin, P., Olivas, F., Castillo, O., Valdez, F., Soria, J., GarcÃa, J.: Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic. Expert Syst. Appl. 40(8), 3196–3206 (2013)
Mezura-Montes, E., Palomeque-Ortiz, A.: self-adaptive and deterministic parameter control in differential evolution for constrained optimization. Efren Mezura-Montes, Laboratorio Nacional de Informatica Avanzada (LANIA A.C.), Rebsamen 80, Centro, Xalapa, Veracruz, 91000, MEXICO 2009
Neyoy, H., Castillo, O., Soria, J.: dynamic fuzzy logic parameter tuning for ACO and its application in TSP problems. In: Recent Advances on Hybrid Intelligent Systems, pp. 259–271. Springer, Berlin (2013)
Oh, S.-K., Kim, W.-D., Pedrycz, W.: Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights. Eng. Appl. Artif. Intell. 25, 520–532 (2012). (Department of Electrical Engineering, The University of Suwon)
Olivas, F., Castillo, O.: Particle swarm optimization with dynamic parameter adaptation using fuzzy logic for benchmark mathematical functions. In: Recent Advances on Hybrid Intelligent Systems, pp. 247–258. Springer, Berlin (2013)
Price, K.V., Storn, R., Lampinen, J.A.: Differential Evolution. Springer, Berlin (2005)
Raofen, W., Zhang, J., Zhang, Y., Wang, X.: Assessment of human operator functional state using a novel differential evolution optimization based adaptive fuzzy model. Biomed. Signal Process. Control 7, 490–498 (2012). (Lab for Brain-Computer Interfaces and Control, East China University of Science and Technology, Shanghai 200237, Peoples Republic of China)
Sombra, A., Valdez, F., Melin, P., Castillo, O.: A new gravitational search algorithm using fuzzy logic to parameter adaptation. In: IEEE Congress on Evolutionary Computation, pp. 1068–1074 (2013
Valdez, F., Melin, P., Castillo, O.: Evolutionary method combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 2114–2119 (2009)
Valdez, F., Melin, P., Castillo, O.: Parallel particle swarm optimization with parameters adaptation using fuzzy logic. MICAI (2), 374–385 (2012)
Valdez, F., Melin, P., Castillo, O.: Bio-inspired optimization methods on graphic processing unit for minimization of complex mathematical functions. In: Recent Advances on Hybrid Intelligent Systems, pp 313–322. Springer, Berlin (2013)
Valdez, F., Melin, P., Castillo, O.: An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms. Appl. Soft Comput. 11, 2625–2632 (2011)
Vucetic, D.: Fuzzy differential evolution algorithm. The University of Western Ontario, London (2012)
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Ochoa, P., Castillo, O., Soria, J. (2015). Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers. In: Castillo, O., Melin, P. (eds) Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics. Studies in Computational Intelligence, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-319-10960-2_3
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DOI: https://doi.org/10.1007/978-3-319-10960-2_3
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