Adaptive and multilevel metaheuristics
One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological...
Shranjeno v:
| Drugi avtorji: | , , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2008. |
| Serija: | Studies in Computational Intelligence
136 |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
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| Edition sous un autre format: | • Adaptive and Multilevel Metaheuristics, Texte imprimé, 9783540794370 • Adaptive and Multilevel Metaheuristics, Texte imprimé, 9783642098338 • Adaptive and Multilevel Metaheuristics, Texte imprimé, 9783540872344 • Adaptive and Multilevel Metaheuristics, Texte imprimé, 9783540794370 |
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| 245 | 0 | 0 | |a Adaptive and multilevel metaheuristics |c edited by Carlos Cotta, Marc Sevaux, Kenneth Sörensen. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 136 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Reviews of the Field Hyperheuristics: Recent Developments Self-Adaptation in Evolutionary Algorithms for Combinatorial Optimisation New Techniques and Applications An Efficient Hyperheuristic for Strip-Packing Problems Probability-Driven Simulated Annealing for Optimizing Digital FIR Filters RASH: A Self-adaptive Random Search Method Market Based Allocation of Transportation Orders to Vehicles in Adaptive Multi-objective Vehicle Routing A Simple Evolutionary Algorithm with Self-adaptation for Multi-objective Nurse Scheduling Individual Evolution as an Adaptive Strategy for Photogrammetric Network Design Adaptive Estimation of Distribution Algorithms Initialization and Displacement of the Particles in TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm Evolution of Descent Directions Multiple Neighbourhood Search in Commercial VRP Packages: Evolving Towards Self-Adaptive Methods Automated Parameterisation of a Metaheuristic for the Orienteering Problem | |
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| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological attempts, it largely remains a scientific art. Transferring a part of this customization effort to the algorithm itself -endowing it with smart mechanisms to self-adapt to the problem- has been a long pursued goal in the field of metaheuristics. These mechanisms can involve different aspects of the algorithm, such as for example, self-adjusting the parameters, self-adapting the functioning of internal components, evolving search strategies, etc. Recently, the idea of hyperheuristics, i.e., using a metaheuristic layer for adapting the search by selectively using different low-level heuristics, has also been gaining popularity. This volume presents recent advances in the area of adaptativeness in metaheuristic optimization, including up-to-date reviews of hyperheuristics and self-adaptation in evolutionary algorithms, as well as cutting edge works on adaptive, self-adaptive and multilevel metaheuristics, with application to both combinatorial and continuous optimization | ||
| 700 | 1 | |a Cotta, Carlos. |4 pbd | |
| 700 | 1 | |a Sevaux, Marc, |d 1969- |4 pbd | |
| 700 | 1 | |a Sörensen, Kenneth, |d 19- |4 pbd | |
| 776 | 0 | |t Adaptive and Multilevel Metaheuristics |b Texte imprimé |z 9783540794370 | |
| 776 | 0 | |t Adaptive and Multilevel Metaheuristics |b Texte imprimé |z 9783642098338 | |
| 776 | 0 | |t Adaptive and Multilevel Metaheuristics |b Texte imprimé |z 9783540872344 | |
| 776 | 0 | |t Adaptive and Multilevel Metaheuristics |b Texte imprimé |z 9783540794370 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-540-79438-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-04FSF3PX-W |z Accès sur la plateforme Istex | |
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