Design and Implementation of a Combinatorial Optimization Multi-population Meta-heuristic for Solving Vehicle Routing Problems
DOI:
https://doi.org/10.9781/ijimai.2016.4213Keywords:
Vehicle Routing, Transportation, Golden Ball AlgorithmAbstract
This paper aims to give a presentation of the PhD defended by Eneko Osaba on November 16th, 2015, at the University of Deusto. The thesis can be placed in the field of artificial intelligence. Specifically, it is related with multi- population meta-heuristics for solving vehicle routing problems. The dissertation was held in the main auditorium of the University, in a publicly open presentation. After the presentation, Eneko was awarded with the highest grade (cum laude). Additionally, Eneko obtained the PhD obtaining award granted by the Basque Government through.Downloads
References
[1] E. Osaba. Design and implementation of a combinatorial optimization multi-population meta-heuristic for solving vehicle routing problems. PhD thesis, Deusto Institute of Technology University of Deusto, November 2015.
[2] E. Osaba, F. Diaz, R. Carballedo, E. Onieva, and A. Perallos. Focusing on the golden ball metaheuristic: An extended study on a wider set of problems. The Scientific World Journal, 2014.
[3] E. Osaba, F. Diaz, and E. Onieva. Golden ball: a novel metaheuristic to solve combinatorial optimization problems based on soccer concepts. Applied Intelligence, 41(1):145–166, 2014.
[4] E. Osaba, X.-S. Yang, F. Diaz, P. Lopez-Garcia, and R. Carballedo. An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems. Engineering Applications of Artificial Intelligence, 48:59–71, 2016.
[5] E. Osaba, X.-S. Yang, F. Diaz, E. Onieva, A. D. Masegosa, and A. Perallos. A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy. Soft Computing, pages 1–14, 2016.
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