Eneko Osaba
ABSTRACT
In this paper, we describe a new meta-heuristic to solve routing problems. This meta-heuristic is called Golden Ball (GB), and it is based on soccer concepts. To prove its quality we apply it to the Vehicle Routing Problem with Backhauls (VRPB) and we compare its results with the results obtained by a basic Genetic Algorithm (GA) and an Evolutionary Algorithm (EA).
- D. E. Goldberg. Genetic algorithms in search, optimization, and machine learning. Addison-Wesley Professional, 1989. Google Scholar
Digital Library
- E. L. Lawler, J. K. Lenstra, A. R. Kan, and D. B. Shmoys. The traveling salesman problem: a guided tour of combinatorial optimization, volume 3. Wiley New York, 1985.Google Scholar
- J. K. Lenstra and A. Kan. Complexity of vehicle routing and scheduling problems. Networks, 11(2):221--227, 1981.Google ScholarCross Ref
- P. Toth and D. Vigo. Models, relaxations and exact approaches for the capacitated vehicle routing problem. Discrete Applied Mathematics, 123(1):487--512, 2002. Google ScholarDigital Library
- P. Toth and D. Vigo. Vrp with backhauls. The Vehicle Routing Problem, SIAM Monographs on Discrete Mathematics and Applications, 9:195--221, 2002. Google ScholarDigital Library
Index Terms
- A novel meta-heuristic based on soccer concepts to solve routing problems
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