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Adaptive and Multilevel Metaheuristics

  • Book
  • © 2008

Overview

Editors:
  1. Carlos Cotta
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  2. Marc Sevaux
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  3. Kenneth Sörensen
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  • Presents recent results in Adaptive and Multilevel Metaheuristics

Part of the book series: Studies in Computational Intelligence (SCI, volume 136)

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Table of contents (13 chapters)

  1. Front Matter

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  2. Reviews of the Field

    1. Front Matter

      Pages 1-1
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    2. Hyperheuristics: Recent Developments

      • Konstantin Chakhlevitch, Peter Cowling
      Pages 3-29

    3. Self-Adaptation in Evolutionary Algorithms for Combinatorial Optimisation

      • James E. Smith
      Pages 31-57

  3. New Techniques and Applications

    1. Front Matter

      Pages 59-59
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    2. An Efficient Hyperheuristic for Strip-Packing Problems

      • Ignacio Araya, Bertrand Neveu, María-Cristina Riff
      Pages 61-76

    3. Probability-Driven Simulated Annealing for Optimizing Digital FIR Filters

      • Emmanuel Boutillon, Christian Roland, Marc Sevaux
      Pages 77-93

    4. RASH: A Self-adaptive Random Search Method

      • Mauro Brunato, Roberto Battiti
      Pages 95-117

    5. Market Based Allocation of Transportation Orders to Vehicles in Adaptive Multi-objective Vehicle Routing

      • Martin Josef Geiger, Wolf Wenger
      Pages 119-132

    6. A Simple Evolutionary Algorithm with Self-adaptation for Multi-objective Nurse Scheduling

      • Dario Landa-silva, Khoi N. Le
      Pages 133-155

    7. Individual Evolution as an Adaptive Strategy for Photogrammetric Network Design

      • Gustavo Olague, Enrique Dunn, Evelyne Lutton
      Pages 157-176

    8. Adaptive Estimation of Distribution Algorithms

      • Roberto Santana, Pedro Larrañaga, José A. Lozano
      Pages 177-197

    9. Initialization and Displacement of the Particles in TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm

      • Yann Cooren, Maurice Clerc, Patrick Siarry
      Pages 199-219

    10. Evolution of Descent Directions

      • Alejandro Sierra Urrecho, Iván Santibáñez Koref
      Pages 221-237

    11. “Multiple Neighbourhood” Search in Commercial VRP Packages: Evolving Towards Self-Adaptive Methods

      • Kenneth Sörensen, Marc Sevaux, Patrick Schittekat
      Pages 239-253

    12. Automated Parameterisation of a Metaheuristic for the Orienteering Problem

      • Wouter Souffriau, Pieter Vansteenwegen, Greet Vanden Berghe, Dirk Van Oudheusden
      Pages 255-269

  4. Back Matter

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Keywords

About this book

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.

Bibliographic Information

  • Book Title: Adaptive and Multilevel Metaheuristics

  • Editors: Carlos Cotta, Marc Sevaux, Kenneth Sörensen

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-79438-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2008

  • Hardcover ISBN: 978-3-540-79437-0Published: 30 May 2008

  • Softcover ISBN: 978-3-642-09833-8Published: 28 October 2010

  • eBook ISBN: 978-3-540-79438-7Published: 17 June 2008

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XV, 275

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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