Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet
This paper discusses the two-dimensional loading capacitated vehicle routing problem (2L-CVRP) with heterogeneous fleet (2L-HFVRP). The 2L-CVRP can be found in many real-life situations related to the transportation of voluminous items where two-dimensional packing restrictions have to be considered...
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| Veröffentlicht in: | Annals of operations research 2016-01, Vol.236 (2), p.383-404 |
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| creator | Dominguez, Oscar Juan, Angel A. Barrios, Barry Faulin, Javier Agustin, Alba |
| description | This paper discusses the two-dimensional loading capacitated vehicle routing problem (2L-CVRP) with heterogeneous fleet (2L-HFVRP). The 2L-CVRP can be found in many real-life situations related to the transportation of voluminous items where two-dimensional packing restrictions have to be considered, e.g.: transportation of heavy machinery, forklifts, professional cleaning equipment, etc. Here, we also consider a heterogeneous fleet of vehicles, comprising units of different capacities, sizes and fixed/variable costs. Despite the fact that heterogeneous fleets are quite ubiquitous in real-life scenarios, there is a lack of publications in the literature discussing the 2L-HFVRP. In particular, to the best of our knowledge no previous work discusses the non-oriented 2L-HFVRP, in which items are allowed to be rotated during the truck-loading process. After describing and motivating the problem, a literature review on related work is performed. Then, a multi-start algorithm based on biased randomization of routing and packing heuristics is proposed. A set of computational experiments contribute to illustrate the scope of our approach, as well as to show its efficiency. |
| doi_str_mv | 10.1007/s10479-014-1551-4 |
| format | Article |
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The 2L-CVRP can be found in many real-life situations related to the transportation of voluminous items where two-dimensional packing restrictions have to be considered, e.g.: transportation of heavy machinery, forklifts, professional cleaning equipment, etc. Here, we also consider a heterogeneous fleet of vehicles, comprising units of different capacities, sizes and fixed/variable costs. Despite the fact that heterogeneous fleets are quite ubiquitous in real-life scenarios, there is a lack of publications in the literature discussing the 2L-HFVRP. In particular, to the best of our knowledge no previous work discusses the non-oriented 2L-HFVRP, in which items are allowed to be rotated during the truck-loading process. After describing and motivating the problem, a literature review on related work is performed. Then, a multi-start algorithm based on biased randomization of routing and packing heuristics is proposed. 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research</jtitle><stitle>Ann Oper Res</stitle><date>2016-01-01</date><risdate>2016</risdate><volume>236</volume><issue>2</issue><spage>383</spage><epage>404</epage><pages>383-404</pages><issn>0254-5330</issn><eissn>1572-9338</eissn><abstract>This paper discusses the two-dimensional loading capacitated vehicle routing problem (2L-CVRP) with heterogeneous fleet (2L-HFVRP). The 2L-CVRP can be found in many real-life situations related to the transportation of voluminous items where two-dimensional packing restrictions have to be considered, e.g.: transportation of heavy machinery, forklifts, professional cleaning equipment, etc. Here, we also consider a heterogeneous fleet of vehicles, comprising units of different capacities, sizes and fixed/variable costs. Despite the fact that heterogeneous fleets are quite ubiquitous in real-life scenarios, there is a lack of publications in the literature discussing the 2L-HFVRP. In particular, to the best of our knowledge no previous work discusses the non-oriented 2L-HFVRP, in which items are allowed to be rotated during the truck-loading process. After describing and motivating the problem, a literature review on related work is performed. Then, a multi-start algorithm based on biased randomization of routing and packing heuristics is proposed. A set of computational experiments contribute to illustrate the scope of our approach, as well as to show its efficiency.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10479-014-1551-4</doi><tpages>22</tpages></addata></record> |
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| ispartof | Annals of operations research, 2016-01, Vol.236 (2), p.383-404 |
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| source | EBSCOhost Business Source Complete; SpringerLink Journals - AutoHoldings |
| subjects | Algorithms Business and Management Combinatorics Energy consumption Engineering research Fork lift trucks Heuristic Industrial equipment Literature reviews Operations research Operations Research/Decision Theory Packing problem Randomization Route optimization Route selection Studies Theory of Computation Transportation Two dimensional Vehicles Wireless communications |
| title | Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet |
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