Name
Abstract | ||
|---|---|---|
This paper presents a solution methodology to tackle a new realistic vehicle routing problem that incorporates heterogeneous fleet, multiple commodities and multiple vehicle compartments. The objective is to find minimum cost routes for a fleet of heterogeneous vehicles without violating capacity, loading and time window constraints. The solution methodology hybridizes in a reactive fashion systematic diversification mechanisms of Greedy Randomized Adaptive Search Procedures with Variable Neighborhood Search for intensification local search. Computational results reported justify the applicability of the methodology. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-3-540-70942-8_29 | Numerical Methods and Applications |
Keywords | Field | DocType |
computational result,multiple vehicle compartment,heterogeneous fleet,multiple commodity,variable neighborhood search,real life vehicle,hybrid metaheuristic,greedy randomized adaptive search,new realistic vehicle,heterogeneous vehicle,solution methodology,solution methodology hybridizes,vehicle routing problem,local search,greedy randomized adaptive search procedure | Vehicle routing problem,Mathematical optimization,Guided Local Search,Variable neighborhood search,Local search (optimization),Greedy randomized adaptive search procedure,Tabu search,Mathematics,Metaheuristic | Conference |
Volume | ISSN | Citations |
4310 | 0302-9743 | 5 |
PageRank | References | Authors |
0.52 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. P. Repoussis | 1 | 256 | 13.74 |
| Christos D. Tarantilis | 2 | 679 | 33.69 |
| George Ioannou | 3 | 106 | 11.99 |