DocumentCode
2709734
Title
The application of Multilevel Refinement to the Vehicle Routing Problem
Author
Rodney, Demane ; Soper, Alan ; Walshaw, Chris
Author_Institution
Sch. of Comput. & Math. Sci., Greenwich Univ., London
fYear
2007
fDate
1-5 April 2007
Firstpage
212
Lastpage
219
Abstract
We discuss the application of the multilevel (ML) refinement technique to the vehicle routing problem (VRP), and compare it to its single-level (SL) counterpart. Multilevel refinement recursively coarsens to create a hierarchy of approximations to the problem and refines at each level. A SL heuristic, termed the combined node-exchange composite heuristic (CNCH), is developed first to solve instances of the VRP. A ML version (the ML-CNCH) is then created, using the construction and improvement heuristics of the CNCH at each level. Experimentation is used to find a suitable combination, which extends the global view of these heuristics. Results comparing both SL and ML are presented
Keywords
combinatorial mathematics; optimisation; transportation; vehicles; aggregation techniques; combinatorial optimization; combined node-exchange composite heuristic; multilevel refinement; vehicle routing problem; Clustering algorithms; Computational intelligence; Costs; Intelligent vehicles; Job shop scheduling; Processor scheduling; Refining; Routing; Runtime; Traveling salesman problems; Heuristics; aggregation techniques; combinatorial optimization; metaheuristic; multilevel refinement; vehicle routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Scheduling, 2007. SCIS '07. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0704-4
Type
conf
DOI
10.1109/SCIS.2007.367692
Filename
4218619
Link To Document