Abstract
Nowadays genetic algorithms stand as a trend to solve NP-complete and NP-hard problems. In this paper, we present a new hybrid metaheuristic which combines Genetic Algorithms and Scatter Search coupled with a decomposition-into-petals procedure for solving a class of Vehicle Routing and Scheduling Problems. Its performance is evaluated for a heterogeneous fleet model, which is considered a problem much harder to solve than the homogeneous vehicle routing problem.
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© 1998 Springer-Verlag Berlin Heidelberg
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Ochi, L.S., Vianna, D.S., Drummond, L.M.A., Victor, A.O. (1998). An evolutionary hybrid metaheuristic for solving the vehicle routing problem with heterogeneous fleet. In: Banzhaf, W., Poli, R., Schoenauer, M., Fogarty, T.C. (eds) Genetic Programming. EuroGP 1998. Lecture Notes in Computer Science, vol 1391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0055938
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DOI: https://doi.org/10.1007/BFb0055938
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