Bio-inspired Algorithms for the Vehicle Routing Problem

The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine a set of routes with overall minimum cost that can satisfy several geographical scattered demands. Biological inspired computation is a field devoted to the deve...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Pereira, Francisco Baptista (Editor ), Tavares, Jorge (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 161
Temas:
Engineering mathematics.
Engineering-Data processing.
Software engineering.
Operations research.
Mathematical and Computational Engineering Applications.
Software Engineering.
Operations Research and Decision Theory.
Acceso en línea:Texto Completo
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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