A hybrid particle swarm optimization for vehicle routing problem with simultaneous pickup and delivery

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Tarih

2010

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Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Vehicle routing problem (VRP) is an important and well-known combinatorial optimization problem encountered in many transport logistics and distribution systems. The VRP has several variants depending on tasks performed and on some restrictions, such as time windows, multiple vehicles, backhauls, simultaneous delivery and pick-up, etc. In this paper, we consider vehicle routing problem with simultaneous pickup and delivery (VRPSPD). The VRPSPD deals with optimally integrating goods distribution and collection when there are no precedence restrictions on the order in which the operations must be performed. Since the VRPSPD is an NP-hard problem, we present a solution approach based on particle swarm optimization (PSO) in which a local search is performed by variable neighborhood descent algorithm (VND). The effectiveness of the proposed PSO (h-PSO) is investigated by an experiment conducted on benchmark problem instances available in the literature. The computational results indicate that the proposed algorithm competes with the heuristic approaches in the literature.

Açıklama

Computers and Industrial Engineering: An International Journal;Japan Federation of Management Related Academies (JFMA);Japan Industrial Management Association (JIMA);The Operational Research Society of Japan (ORSJ);The Japan Institute of Industrial Engineering (JIIE)
40th International Conference on Computers and Industrial Engineering, CIE40 2010 -- 25 July 2010 through 28 July 2010 -- Awaji -- 83447

Anahtar Kelimeler

Particle swarm optimization, Simultaneous pickup and delivery, Variable neighborhood descent algorithm, Vehicle routing problem

Kaynak

40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010

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N/A

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