NDLI: A Hybrid Particle Swarm Optimization for Solving Vehicle Routing Problem with Time Windows

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A Hybrid Particle Swarm Optimization for Solving Vehicle Routing Problem with Time Windows

Content Provider	ACM Digital Library
Author	DE Souza, Sérgio Ricado Stehling, Thiago Muniz De França Filho, Moacir F.
Abstract	This paper presents a hybrid Particle Swarm Optimization (PSO) for solving Vehicle Routing Problem with Time Windows (VRPTW). Three versions of the algorithm were implemented. The first version is a traditional PSO. In this case, the initialization is random and the best insertion for each customer on the route is evaluated. The second version is a combination of Greedy Randomized Adaptive Search Procedure (GRASP) and Push-Forward Insertion Heuristic (PFIH) with PSO. The last version, in addition to the previous characteristics, features a mutation operator after updating speed and position of each particle. For computational experiments, the \$56\$ Solomon's instances are used and the results obtained in each version are compared with the best known results from literature. A statistical analysis indicates that the third version has a better performance than the other versions.
Starting Page	1489
Ending Page	1490
Page Count	2
File Format	PDF
ISBN	9781450334884
DOI	10.1145/2739482.2764719
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-07-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Metaheuristics Swarm intelligence Hybridization Combinatorial optimization Particle swarm optimization
Content Type	Text
Resource Type	Article

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