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- W1488224729 abstract "In this chapter, the authors study the dynamic extension of the conventional vehicle routing problem (VRP) and its resolution by a recent metaheuristic paradigm. The VRP consists of determining, by minimizing the route cost, a set of routes for a limited number of vehicles, beginning and ending at a depot, such that each customer is visited exactly once by a vehicle, and the sum of the requests from customers on a route does not exceed the capacity of the vehicle that covers this route. In general, the VRP is solved statically, by considering that all the information is known in advance and is reliable over time. The Adaptive Particle Swarm Optimization (APSO) component is used as a heuristic for solving VRP partial instances. The chapter introduces the metaheuristic particle swarms, and describes its adaptation to resolve the problem being addressed. Finally, the chapter presents numerical results and analysis." @default.
- W1488224729 created "2016-06-24" @default.
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- W1488224729 date "2013-10-30" @default.
- W1488224729 modified "2023-09-27" @default.
- W1488224729 title "Solving the Problem of Dynamic Routes by Particle Swarm" @default.
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- W1488224729 doi "https://doi.org/10.1002/9781118577202.ch4" @default.
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