Tabu Search and Greedy Algorithm Adaptation to Logistic Task

Abstract : Distribution companies, in order to maintain a competitive advantage, must demonstrate not only the quality of the offered goods, but also the speed of execution of orders. This article deals with the allocation of the available capacity of transport during the transportation of goods between companies. Solving the problem of optimization is offered by the chosen methods of an artificial intelligence, such as Tabu Search algorithm, greedy algorithm and Tabu Search using the results of the greedy algorithm. The results were compared with the actual results of one of the Dutch distribution companies.
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Khalid Saeed; Władysław Homenda; Rituparna Chaki. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. Springer International Publishing, Lecture Notes in Computer Science, LNCS-10244, pp.39-49, 2017, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-59105-6_4〉
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Kamil Musiał, Joanna Kotowska, Dagmara Górnicka, Anna Burduk. Tabu Search and Greedy Algorithm Adaptation to Logistic Task. Khalid Saeed; Władysław Homenda; Rituparna Chaki. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. Springer International Publishing, Lecture Notes in Computer Science, LNCS-10244, pp.39-49, 2017, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-59105-6_4〉. 〈hal-01656263〉

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