ABSTRACT
In this paper a novel constructive hyperheuristic for CVRP is proposed. This hyperheuristic, called HyperPOEMS, is based on an evolutionary-based iterative local search algorithm. Its inherent characteristics make it capable of autonomously searching a structured space of low-level domain specific heuristics for their suitable combinations that produce good solutions to particular problem instance. HyperPOEMS was tested on standard benchmarks and compared to two existing constructive hyperheuristic, HHC-VRP and EHH-VRP. The results show that HyperPOEMS outperforms both compared hyperheuristics and produces solutions competitive to solutions obtained by specialized metaheuristics designed for CVRP.
- Garrido, P. and Castro, C.: Stable solving of CVRPs using hyperheuristics. In Proceedings of the 11th Genetic and Evolutionary Computation Conference, New York: ACM, 2009, ISBN 978-1-60558-325-9, pp. 255--262, 2009. Google ScholarDigital Library
- Garrido, P., Castro, C., Monfroy, E.: Towards a Flexible and Adaptable Hyperheuristic Approach for VRPs. In Proceedings of the International Conference on Artificial Intelligence, ICAI 2009, ISBN 1-60132-109-0, pp. 311--317, 2009.Google Scholar
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- Ralphs, T. K., Kopman, L., Pulleyblank, W. R., Trotter, L. E.: On the capacitated vehicle routing problem. Mathematical Programming 94, pp. 343--359, 2003.Google ScholarCross Ref
Index Terms
- Evolutionary hyperheuristic for capacitated vehicle routing problem
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