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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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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.