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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| 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: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-540-85152-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220118045216.0 | ||
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| 008 | 100301s2009 gw | s |||| 0|eng d | ||
| 020 | |a 9783540851523 |9 978-3-540-85152-3 | ||
| 024 | 7 | |a 10.1007/978-3-540-85152-3 |2 doi | |
| 050 | 4 | |a TA329-348 | |
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| 245 | 1 | 0 | |a Bio-inspired Algorithms for the Vehicle Routing Problem |h [electronic resource] / |c edited by Francisco Baptista Pereira, Jorge Tavares. |
| 250 | |a 1st ed. 2009. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2009. | |
| 300 | |a XVI, 216 p. 57 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 161 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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 development of computational tools modeled after principles that exist in natural systems. The adoption of such design principles enables the production of problem solving techniques with enhanced robustness and flexibility, able to tackle complex optimization situations. The goal of the volume is to present a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP. Over the 9 chapters, different algorithmic approaches are considered and a diverse set of problem variants are addressed. Some contributions focus on standard benchmarks widely adopted by the research community, while others address real-world situations. | ||
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering-Data processing. | |
| 650 | 0 | |a Software engineering. | |
| 650 | 0 | |a Operations research. | |
| 650 | 1 | 4 | |a Mathematical and Computational Engineering Applications. |
| 650 | 2 | 4 | |a Software Engineering. |
| 650 | 2 | 4 | |a Operations Research and Decision Theory. |
| 700 | 1 | |a Pereira, Francisco Baptista. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Tavares, Jorge. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642098871 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540873372 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540851516 |
| 830 | 0 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 161 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-85152-3 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||