Bio-inspired Algorithms for the Vehicle Routing Problem /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Pereira, Francisco Baptista. (Editor ), Tavares, Jorge. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:	1st ed. 2009.
Colección:	Studies in Computational Intelligence, 161
Materias:	Applied mathematics. Engineering mathematics. Software engineering. Operations research. Decision making. Mathematical and Computational Engineering. Software Engineering. Operations Research/Decision Theory.

Tabla de Contenidos:

A Review of Bio-inspired Algorithms for Vehicle Routing
A GRASP × Evolutionary Local Search Hybrid for the Vehicle Routing Problem
An Evolutionary Algorithm for the Open Vehicle Routing Problem with Time Windows
Using Genetic Algorithms for Multi-depot Vehicle Routing
Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand
Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation
EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem
A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter
When the Rubber Meets the Road: Bio-inspired Field Service Scheduling in the Real World.

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