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Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

  • Book
  • © 2010

Overview

Editors:
  1. Juan R. González

    1. Dept. of Computer Science and A.I. E.T.S. Ingeniería Informática y de Telecomunicación , University of Granada, Granada, Spain

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  2. David Alejandro Pelta

    1. Dept. of Computer Science and A.I. E.T.S. Ingeniería Informática y de Telecomunicación , University of Granada, Granada, Spain

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  3. Carlos Cruz

    1. Dept. of Computer Science and A.I. E.T.S. Ingeniería Informática y de Telecomunicación , University of Granada, Granada, Spain

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  4. Germán Terrazas

    1. School of Computer Science , University of Nottingham, Nottingham, UK

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  5. Natalio Krasnogor

    1. School of Computer Science, University of Nottingham , Nottingham, UK

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  • Presents latest results in Nature Inspired Cooperative Strategies for Optimization
  • State-of-the-art contents
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 284)

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About this book

Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhance or hybridize several techniques through the inclusion of advanced evolution, cooperation or biologically based additions. The previous NICSO workshops were held in Granada, Spain, 2006, Acireale, Italy, 2007, and in Tenerife, Spain, 2008. As in the previous editions, NICSO 2010, held in Granada, Spain, was conceived as a forum for the latest ideas and the state of the art research related to nature inspired cooperative strategies. The contributions collected in this book cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats.

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Table of contents (32 chapters)

  1. Front Matter

    Download chapter PDF

  2. A Metabolic Subsumption Architecture for Cooperative Control of the e-Puck

    • Verena Fischer, Simon Hickinbotham
    Pages 1-12

  3. Social Target Localization in a Population of Foragers

    • Héctor F. Satizábal M., Andres Upegui, Andres Perez-Uribe
    Pages 13-24

  4. Using Knowledge Discovery in Cooperative Strategies: Two Case Studies

    • A. D. Masegosa, E. Muñoz, D. Pelta, J. M. Cadenas
    Pages 25-38

  5. Hybrid Cooperation Models for the Tool Switching Problem

    • Jhon Edgar Amaya, Carlos Cotta, Antonio J. Fernández Leiva
    Pages 39-52

  6. Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies

    • Lídice Camps Echevarría, Orestes Llanes-Santiago, Antônio José da Silva Neto
    Pages 53-63

  7. A New Metaheuristic Bat-Inspired Algorithm

    • Xin-She Yang
    Pages 65-74

  8. Evaluation of a Catalytic Search Algorithm

    • Lidia Yamamoto
    Pages 75-87

  9. Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics

    • Germán Terrazas, Dario Landa-Silva, Natalio Krasnogor
    Pages 89-100

  10. Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization

    • Xin-She Yang, Suash Deb
    Pages 101-111

  11. CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price

    • M. D. Pérez-Godoy, P. Pérez-Recuerda, María Pilar Frías, A. J. Rivera, C. J. Carmona, Manuel Parras
    Pages 113-125

  12. 3D Cell Pattern Generation in Artificial Development

    • Arturo Chavoya, Irma R. Andalon-Garcia, Cuauhtemoc Lopez-Martin, M. E. Meda-Campaña
    Pages 127-139

  13. Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice

    • Degang Wu, Mathis Antony, K. Y. Szeto
    Pages 141-150

  14. A Dynamical Game Model for Sustainable Development

    • D. Dumitrescu, Andrei Sîrghi
    Pages 151-162

  15. Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony Optimization Algorithm

    • A. M. Mora, J. J. Merelo, P. A. Castillo, J. L. J. Laredo, P. García-Sánchez, M. G. Arenas
    Pages 163-176

  16. HC12: Highly Scalable Optimisation Algorithm

    • Radomil Matousek
    Pages 177-183

  17. Adaptive Evolutionary Testing: An Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software

    • José Carlos Bregieiro Ribeiro, Mário Alberto Zenha-Rela, Francisco Fernández de Vega
    Pages 185-197

  18. Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study

    • Elhadj Benkhelifa, Michael Farnsworth, Ashutosh Tiwari, Meiling Zhu
    Pages 199-210

  19. A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard

    • P. García-Sánchez, J. González, P. A. Castillo, J. J. Merelo, A. M. Mora, J. L. J. Laredo et al.
    Pages 211-222

  20. Cellular Genetic Algorithm on Graphic Processing Units

    • Pablo Vidal, Enrique Alba
    Pages 223-232
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Editors and Affiliations

  • Dept. of Computer Science and A.I. E.T.S. Ingeniería Informática y de Telecomunicación , University of Granada, Granada, Spain

    Juan R. González, David Alejandro Pelta, Carlos Cruz

  • School of Computer Science , University of Nottingham, Nottingham, UK

    Germán Terrazas

  • School of Computer Science, University of Nottingham , Nottingham, UK

    Natalio Krasnogor

Bibliographic Information

  • Book Title: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

  • Editors: Juan R. González, David Alejandro Pelta, Carlos Cruz, Germán Terrazas, Natalio Krasnogor

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-12538-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-12537-9Published: 27 April 2010

  • Softcover ISBN: 978-3-642-26307-1Published: 28 May 2012

  • eBook ISBN: 978-3-642-12538-6Published: 16 April 2010

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: 420

  • Number of Illustrations: 118 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Applications of Mathematics

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