URI | http://purl.tuc.gr/dl/dias/3C81C90F-B185-44DB-9251-9A188CF1FF99 | - |
Identifier | https://doi.org/10.1080/13675560701410144 | - |
Language | en | - |
Extent | 17 pages | en |
Title | A bilevel genetic algorithm for a real life location routing problem | en |
Creator | Marinakis Ioannis | en |
Creator | Μαρινακης Ιωαννης | el |
Creator | Marinaki Magdalini | en |
Creator | Μαρινακη Μαγδαληνη | el |
Publisher | Taylor & Francis | en |
Content Summary | A fast, robust and efficient algorithm for solving the Location routing problem (LRP) for one of the largest companies in Greece, which distributes wood products, is developed. To solve the company's problem, a new formulation of the LRP based on bilevel programming is proposed. Based on the fact that in the LRP, decisions are made at a strategic level and at an operational level, we formulate the problem in such a way that in the first level, the decisions of the strategic level are made, namely, the top manager finds the optimal location of the facilities: while in the second level, the operational level decisions are made, namely, the operational manager finds the optimal routing of vehicles. For this problem, a Bilevel Genetic Algorithm is proposed. The algorithm manages to provide practical solutions and significant economic benefits for the company. The algorithm is also tested on a set of benchmark instances. The results of the algorithm are also very satisfactory for those instances and, for six of them, a new best solution has been found. | en |
Type of Item | Peer-Reviewed Journal Publication | en |
Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-11-05 | - |
Date of Publication | 2008 | - |
Subject | Logistic support, Integrated | en |
Subject | integrated logistic support | en |
Subject | logistic support integrated | en |
Bibliographic Citation | Y. Marinakis , M. Marinaki,"A bilevel genetic algorithm for a real life location routing problem," Intern.J. of Logistics: Research and Appl., vol. 11,no. 1,pp. 49-65, 2008.doi:10.1080/13675560701410144 | en |