Abstract
In this chapter the original bee colony optimization (BCO) and the proposed method (dynamic adaptation of the parameters of bee colony optimization ) are explained.
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References
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. Design of Intelligent Systems based on Fuzzy Logic, Neural Network and Nature-Inspired Optimization, pp. 617–637 (2015)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence. Oxford University Press, Oxford (1997)
Caraveo, C., Valdez, F., Castillo, O.: Optimization of fuzzy controller design using a new bee colony algorithm with fuzzy dynamic parameter adaptation. Appl. Soft Comput. 43, 131–142 (2016)
Cui, L., Li, G., Lin, Q., Du, Z., Gao, W., Chen, J., Lu, N.: A novel artificial bee colony algorithm with depth-first search framework and elite-guided search equation. Inf. Sci. 367, 1012–1044 (2016)
Chaiyatham, T., and Ngamroo, I.: A Bee colony optimization based-fuzzy logic-PID control design of electrolyzer for microgrid stabilization. Int. J. Innov. Comput. Inf. Control. 8(9), 6049–6066 (2012)
Chong, Ch., Low, M., Sivakumar, A.K., Gay, K.L.: A bee colony optimization algorithm to job shop scheduling. In: Proceedings of the 2006 Winter Simulation Conference, pp. 1959 (2006)
Corne, D., Dorigo, M., Glover, F.: New Ideas in Optimization. McGraw-Hill, USA (1999)
Habbi, H., Boudouaoui, Y., Karaboga, D., Ozturk, C.: Self-generated fuzzy systems design using artificial bee colony optimization. Inf. Sci. 295, 145–159 (2015)
Lučić, P., Teodorović, D.: Vehicle routing problem with uncertain demand at nodes: the bee system and fuzzy logic approach. In: Verdegay, J.L. (ed.) Fuzzy Sets in Optimization. Springer-Verlag, Heidelberg, Berlin, pp. 67–82 (2003)
Pham, D.T., Ghanbarzadeh, A., Koc, E., Otri, S., Rahim, S., Zaidi, M.: The bees algorithm–a novel tool for complex optimisation. In: Intelligent Production Machines and Systems-2nd I* PROMS Virtual International Conference, pp. 3–14 (2006)
Tiacharoen, S., Chatchanayuenyong, T.: Design and development of an intelligent control by using bee colony optimization techinque. Am. J. Appl. Sci. 9(9), 1464–1471 (2012)
Wong, L.P., Chong, Ch.S.: An efficient bee colony optimization algorithm for traveling salesman problem using frequency-based pruning. In: 7th International Conference on Industrial Informatics (INDIN 2009), pp. 775–782 (2009)
Teodorović, D.: Swarm intelligence systems for transportation engineering: principles and applications. Transport. Res. Part C Emerg. Technol. 16(6), 651–782 (2008)
Teodorović, D.: “Transport modeling by multi-agent systems”: a swarm intelligence approach. Transport. Plann. Technol. 26(4), 289–312 (2003)
Biesmeijer, J.C., Seeley, T.D.: The use of waggle dance information by honey bees throughout their foraging careers. Behav. Ecol. Sociobiol. 59(1), 133–142 (2005)
Dyler, F.C.: The biology of the dance language. Ann. Rev. Entomol. 47, 917–949 (2002)
Amador-Angulo, L., Castillo, O.: Statistical analysis of type-1 and interval type-2 fuzzy logic in dynamic parameter adaptation of the BCO. In: 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15). Atlantis Press (2015)
Castillo, O., Amador-Angulo, L., Castro, J.R., Garcia-Valdez, M.: A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems. Inf. Sci. 354, 257–274 (2016)
Melin, P., Olivas, F., Castillo, O., Valdez, F., Soria, J., Valdez, M.: Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic. Expert Syst. Appl. 40(8), 1–12 (2013)
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Amador, L., Castillo, O. (2017). Bee Colony Optimization Algorithm. In: Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-54295-9_4
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DOI: https://doi.org/10.1007/978-3-319-54295-9_4
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