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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/E033B572-D70C-4F68-BB0B-3FC67BA0E7E8 | - |
| Identifier | https://doi.org/10.1007/978-3-319-14400-9_9 | - |
| Language | en | - |
| Title | A memetic differential evolution algorithm for the vehicle routing problem with stochastic demands | en |
| Creator | Marinaki Magdalini | en |
| Creator | Μαρινακη Μαγδαληνη | el |
| Creator | Marinakis Ioannis | en |
| Creator | Μαρινακης Ιωαννης | el |
| Creator | Paraskevi Spanou | en |
| Publisher | Springer Verlag | en |
| Content Summary | This chapter introduces a new hybrid algorithmic approach based on the Differential Evolution (DE) algorithm for successfully solving a number of routing problems with stochastic variables. More precisely, we solve one problem with stochastic customers, the Probabilistic Traveling Salesman Problem and one problem with stochastic demands, the Vehicle Routing Problem with Stochastic Demands. The proposed algorithm uses a Variable Neighborhood Search algorithm in order to increase the exploitation abilities of the algorithm. The algorithm is tested on a number of benchmark instances from the literature and it is compared with a hybrid Genetic Algorithm. | en |
| Type of Item | Περίληψη Δημοσίευσης σε Συνέδριο | el |
| Type of Item | Conference Paper Abstract | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-28 | - |
| Date of Publication | 2012 | - |
| Bibliographic Citation | Y. Marinakis, M. Marinaki and P. Spanou, “A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands”, in Adaptation and Hybridization in Computational Intelligence, Adaptation, Learning, and Optimization, 2015, pp. 185-203. DOI: 10.1007/978-3-319-14400-9_9 | en |
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