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A hybrid clonal selection algorithm for the location routing problem with stochastic demands

Marinakis Ioannis, Marinaki Magdalini, Mygdalas Athanasios

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URI: http://purl.tuc.gr/dl/dias/6DCB4A0A-7B32-47E9-BFF7-FBF32B64CC43
Έτος 2016
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
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Λεπτομέρειες
Βιβλιογραφική Αναφορά Y. Marinakis, M. Marinaki and A. Migdalas, "A hybrid clonal selection algorithm for the location routing problem with stochastic demands," Ann. Math. Artif. Intel., vol. 76, no. 1-2, pp. 121-142, Feb. 2016. doi: 10.1007/s10472-014-9441-7 https://doi.org/10.1007/s10472-014-9441-7
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Περίληψη

In this paper, a new formulation of the Location Routing Problem with Stochastic Demands is presented. The problem is treated as a two phase problem where in the first phase it is determined which depots will be opened and which customers will be assigned to them while in the second phase, for each of the open depots a Vehicle Routing Problem with Stochastic Demands is solved. For the solution of the problem a Hybrid Clonal Selection Algorithm is applied, where, in the two basic phases of the Clonal Selection Algorithm, a Variable Neighborhood Search algorithm and an Iterated Local Search algorithm respectively have been utilized. As there are no benchmark instances in the literature for this form of the problem, a number of new test instances have been created based on instances of the Capacitated Location Routing Problem. The algorithm is compared with both other variants of the Clonal Selection Algorithm and other evolutionary algorithms.

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