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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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Pereira, Francisco Baptista (Editor), Tavares, Jorge (Editor)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Studies in Computational Intelligence, 161
Subjects:
Engineering mathematics.
Engineering-Data processing.
Software engineering.
Operations research.
Mathematical and Computational Engineering Applications.
Software Engineering.
Operations Research and Decision Theory.
Online Access:Texto Completo
Table of Contents:
  • 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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