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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Pereira, Francisco Babtista (Επιμελητής έκδοσης), Tavares, Jorge (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Computational Intelligence, 161
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.