Particle swarm optimization algorithm for a vehicle routing problem with heterogeneous fleet, mixed backhauls, and time windows
Today, companies need to collect and to deliver goods from and to their depots and their customers. This problem is described as a Vehicle Routing Problem with Mixed Linehaul and Backhaul customers (VRPMB). The goods delivered from the depot to the customers can be alternated with the goods picked u...
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| Published in | Journal of intelligent manufacturing Vol. 24; no. 4; pp. 775 - 789 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Boston
Springer US
01.08.2013
Springer Nature B.V Springer Verlag (Germany) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0956-5515 1572-8145 |
| DOI | 10.1007/s10845-012-0627-8 |
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| Abstract | Today, companies need to collect and to deliver goods from and to their depots and their customers. This problem is described as a Vehicle Routing Problem with Mixed Linehaul and Backhaul customers (VRPMB). The goods delivered from the depot to the customers can be alternated with the goods picked up. Other variants of VRP added to VRPMB are Heterogeneous fleet and Time Windows. This paper studies a complex VRP called HVRPMBTW which concerns a logistic/transport society, a problem rarely studied in literature. In this paper, we propose a Particle Swarm Optimization (PSO) with a local search. This approach has shown its effectiveness on several combinatorial problems. The adaptation of this approach to the problem studied is explained and tested on the benchmarks. The results are compared with our previous methods and they show that in several cases PSO improves the results. |
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| AbstractList | Today, companies need to collect and to deliver goods from and to their depots and their customers. This problem is described as a Vehicle Routing Problem with Mixed Linehaul and Backhaul customers (VRPMB). The goods delivered from the depot to the customers can be alternated with the goods picked up. Other variants of VRP added to VRPMB are Heterogeneous fleet and Time Windows. This paper studies a complex VRP called HVRPMBTW which concerns a logistic/transport society, a problem rarely studied in literature. In this paper, we propose a Particle Swarm Optimization (PSO) with a local search. This approach has shown its effectiveness on several combinatorial problems. The adaptation of this approach to the problem studied is explained and tested on the benchmarks. The results are compared with our previous methods and they show that in several cases PSO improves the results. Today, companies need to collect and to deliver goods from and to their depots and their customers. This problem is described as a Vehicle Routing Problem with Mixed Linehaul and Backhaul customers (VRPMB). The goods delivered from the depot to the customers can be alternated with the goods picked up. Other variants of VRP added to VRPMB are Heterogeneous fleet and Time Windows. This paper studies a complex VRP called HVRPMBTW which concerns a logistic/transport society, a problem rarely studied in literature. In this paper, we propose a Particle Swarm Optimization (PSO) with a local search. This approach has shown its effectiveness on several combinatorial problems. The adaptation of this approach to the problem studied is explained and tested on the benchmarks. The results are compared with our previous methods and they show that in several cases PSO improves the results.[PUBLICATION ABSTRACT] |
| Author | Amodeo, Lionel Prins, Christian Belmecheri, Farah Yalaoui, Farouk |
| Author_xml | – sequence: 1 givenname: Farah surname: Belmecheri fullname: Belmecheri, Farah email: farah.belmecheri@utt.fr organization: Institut Charles Delaunay-OSI, University of Technology of Troyes, TCP Distribution – sequence: 2 givenname: Christian surname: Prins fullname: Prins, Christian organization: Institut Charles Delaunay-OSI, University of Technology of Troyes – sequence: 3 givenname: Farouk surname: Yalaoui fullname: Yalaoui, Farouk organization: Institut Charles Delaunay-OSI, University of Technology of Troyes – sequence: 4 givenname: Lionel surname: Amodeo fullname: Amodeo, Lionel organization: Institut Charles Delaunay-OSI, University of Technology of Troyes |
| BackLink | https://utt.hal.science/hal-02501045$$DView record in HAL |
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| Copyright | Springer Science+Business Media, LLC 2012 Springer Science+Business Media New York 2013 Distributed under a Creative Commons Attribution 4.0 International License |
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| Keywords | Mixed backhauls Pick up and delivery Time windows Heterogeneous fleet Particle swarm optimization Vehicle routing problem |
| Language | English |
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| SubjectTerms | Analysis Benchmarks Business and Management Combinatorics Computer Science Control Customers Literature reviews Machine learning Machines Manufacturing Manufacturing execution systems Mechatronics Operations Research Optimization Optimization algorithms Processes Production Robotics Routing Studies Traveling salesman problem Vehicles |
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| Title | Particle swarm optimization algorithm for a vehicle routing problem with heterogeneous fleet, mixed backhauls, and time windows |
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