Abstract
This paper proposes a heuristic approach based on the algorithm referred to as the Honey Bees Mating Optimization algorithm to solve the Uncapacitated Plant-Cycle Location Problem. With the purpose of corroborating the effectiveness of the developed algorithm, we create a set of random instances and use the mathematical formulation of the problem to solve it exactly with Cplex. The computational results show that for the small size instances that Cplex is able to solve, the proposed heuristic reaches the exact solution in all cases.
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References
Abbass, H.A.: A Monogenous MBO Approach to Satisfiability. In: Proceeding if the Internacional Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2001, Las Vegas, USA (2001)
Abbass, H.A.: Marriage in honey-bee optimization (MBO): a haplometrosis polygynous swarming approach. In: The Congress on Evolutionary Computation (CEC 2001), Seoul, Korea, pp. 207–214 (2001)
Afshar, A., Haddad, O.B., Marino, M.A., Adams, B.J.: Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation. Journal of the Franklin Institute 344, 452–462 (2007)
Fathian, M., Amiri, B., Maroosi, A.: Application of honey bee mating optimization algorithm on clustering. Applied Mathematics and Computation 190(2), 1502–1513 (2007)
Haddad, O.B., Afshar, A., Marino, M.A.: Honey-bees mating optimization (HBMO) algorithm: A new heuristic approach for water resources optimizaion. Water resources Management 20, 661–680 (2006)
Labbé, M., Rodríguez Martín, I., Salazar González, J.J.: A branch-and-cut algorithm for the plant-cycle location problem. Journal of the Operational Research Society 55, 513–520 (2004)
Marinakis, Y., Marinaki, M., Dounias, G.: Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem. In: Nature inspired cooperative strategies for optimization (NICSO 2007). Studies in Computational Intelligence, vol. 129, pp. 139–148 (2008)
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Melián-Batista, B., Moreno-Vega, J.M., Vaswani, N., Yumar, R. (2009). A Nature Inspired Approach for the Uncapacitated Plant Cycle Location Problem. In: Krasnogor, N., Melián-Batista, M.B., Pérez, J.A.M., Moreno-Vega, J.M., Pelta, D.A. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2008). Studies in Computational Intelligence, vol 236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03211-0_5
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DOI: https://doi.org/10.1007/978-3-642-03211-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03210-3
Online ISBN: 978-3-642-03211-0
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