Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Honey bees mating optimization algorithm for large scale vehicle routing problems

Marinakis Ioannis, Marinaki Magdalini, Georgios Dounias

Full record


URI: http://purl.tuc.gr/dl/dias/761504F4-F2A6-45C8-A4DD-FA296ECE6A38
Year 2010
Type of Item Peer-Reviewed Journal Publication
License
Details
Bibliographic Citation Y. Marinakis, M. Marinaki , G. Dounias ,"Honey bees mating optimization algorithm for large scale vehicle routing problems," Natural Comp., vol. 9,no.1 . pp. 5-27,Mar. 2010.doi:10.1007/s11047-009-9136-x https://doi.org/10.1007/s11047-009-9136-x
Appears in Collections

Summary

Honey Bees Mating Optimization algorithm is a relatively new nature inspired algorithm. In this paper, this nature inspired algorithm is used in a hybrid scheme with other metaheuristic algorithms for successfully solving the Vehicle Routing Problem. More precisely, the proposed algorithm for the solution of the Vehicle Routing Problem, the Honey Bees Mating Optimization (HBMOVRP), combines a Honey Bees Mating Optimization (HBMO) algorithm with the Multiple Phase Neighborhood Search–Greedy Randomized Adaptive Search Procedure (MPNS–GRASP) and the Expanding Neighborhood Search (ENS) algorithm. Besides these two procedures, the proposed algorithm has, also, two additional main innovative features compared to other Honey Bees Mating Optimization algorithms concerning the crossover operator and the workers. Two sets of benchmark instances are used in order to test the proposed algorithm. The results obtained for both sets are very satisfactory. More specifically, in the fourteen classic instances proposed by Christofides, the average quality is 0.029% and in the second set with the twenty large scale vehicle routing problems the average quality is 0.40%.

Services

Statistics