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Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

  • Book
  • © 2011

Overview

Editors:
  1. David Alejandro Pelta

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

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  2. Natalio Krasnogor

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

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  3. Dan Dumitrescu

    1. Center for Cognitive and Neural Studies, Babes-Bolyai University of Cluj Napoca, Cluj-Napoca, Romania

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  4. Camelia Chira

    1. Department of Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania

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  5. Rodica Lung

    1. Faculty of Economics and Business Administration, Babes-Bolyai University of Cluj Napoca, Cluj Napoca, Romania

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  • Recent research on Nature Inspired Cooperative Strategies for Optimization
  • Edited outcome of the conference NICSO 2011 Nature Inspired Cooperative Strategies for Optimization October 20-22, Cluj Napoca, Romania
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 387)

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Table of contents (23 chapters)

  1. Front Matter

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  2. Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model

    • Pablo J. Villacorta, David A. Pelta
    Pages 1-19

  3. Resource Allocation and Dispensation Impact of Stochastic Diffusion Search on Differential Evolution Algorithm

    • Mohammad Majid al-Rifaie, John Mark Bishop, Tim Blackwell
    Pages 21-40

  4. An Adaptive Multiagent Strategy for Solving Combinatorial Dynamic Optimization Problems

    • Juan R. González, Carlos Cruz, Ignacio G. del Amo, David A. Pelta
    Pages 41-55

  5. Interactive Intonation Optimisation Using CMA-ES and DCT Parameterisation of the F0 Contour for Speech Synthesis

    • Adriana Stan, Florin-Claudiu Pop, Marcel Cremene, Mircea Giurgiu, Denis Pallez
    Pages 57-71

  6. Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-assembly Wang Tiles

    • Germán Terrazas, Natalio Krasnogor
    Pages 73-84

  7. Model Order Reduction of Single Input Single Output Systems Using Artificial Bee Colony Optimization Algorithm

    • Jagdish Chand Bansal, Harish Sharma, K. V. Arya
    Pages 85-100

  8. Lamps: A Test Problem for Cooperative Coevolution

    • Alberto Tonda, Evelyne Lutton, Giovanni Squillero
    Pages 101-120

  9. A Game Theoretic Approach to Community Detection in Social Networks

    • Rodica Ioana Lung, Anca Gog, Camelia Chira
    Pages 121-131

  10. Simplified Social Impact Theory Based Optimizer in Feature Subset Selection

    • Martin Macaš, Lenka Lhotská
    Pages 133-147

  11. Evolutionary Detection of Berge and Nash Equilibria

    • Noémi Gaskó, D. Dumitrescu, Rodica Ioana Lung
    Pages 149-158

  12. Gravitational Swarm Approach for Graph Coloring

    • Israel Rebollo Ruiz, Manuel Graña Romay
    Pages 159-168

  13. Analysing the Adaptation Level of Parallel Hyperheuristics Applied to Mono-objective Optimisation Problems

    • Eduardo Segredo, Carlos Segura, Coromoto León
    Pages 169-182

  14. Estimation of Distribution Algorithm for the Quay Crane Scheduling Problem

    • Christopher Expósito Izquierdo, José Luis González Velarde, Belén Melián Batista, J. Marcos Moreno-Vega
    Pages 183-194

  15. Nash Extremal Optimization and Large Cournot Games

    • Rodica Ioana Lung, Tudor Dan Mihoc, D. Dumitrescu
    Pages 195-203

  16. An Adaptive Tie Breaking and Hybridisation Hyper-Heuristic for Exam Timetabling Problems

    • E. K. Burke, R. Qu, A. Soghier
    Pages 205-223

  17. Cooperation and Self-organized Criticality for Studying Economic Crises

    • Andrei Sîrghi, D. Dumitrescu
    Pages 225-237

  18. Correlations Involved in a Bio-inspired Classification Technique

    • Camelia-M. Pintea, Sorin V. Sabau
    Pages 239-246

  19. Degeneracy Reduction or Duplicate Elimination? An Analysis on the Performance of Attributed Grammatical Evolution with Lookahead to Solve the Multiple Knapsack Problem

    • Muhammad Rezaul Karim, Conor Ryan
    Pages 247-266

  20. Enhancing the Computational Mechanics of Cellular Automata

    • David Iclănzan, Anca Gog, Camelia Chira
    Pages 267-283
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Keywords

About this book

Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation.

The previous editions of NICSO were held in Granada, Spain (2006), Acireale, Italy (2007), Tenerife, Spain (2008), and again in Granada in 2010. NICSO evolved to be one of the most interesting and profiled workshops in nature inspired computing.

NICSO 2011 has offered an inspiring environment for debating the state of the art ideas and techniques in nature inspired cooperative strategies and a comprehensive image on recent applications of these ideas and techniques.

The topics covered by this volume include Swarm Intelligence (such as Ant and Bee Colony Optimization), Genetic Algorithms, Multiagent Systems, Coevolution and Cooperation strategies, Adversarial Models, Synergic Building Blocks, Complex Networks, Social Impact Models, Evolutionary Design, Self Organized Criticality, Evolving Systems, Cellular Automata, Hybrid Algorithms, and Membrane Computing (P-Systems).

Editors and Affiliations

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

    David Alejandro Pelta

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

    Natalio Krasnogor

  • Center for Cognitive and Neural Studies, Babes-Bolyai University of Cluj Napoca, Cluj-Napoca, Romania

    Dan Dumitrescu

  • Department of Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania

    Camelia Chira

  • Faculty of Economics and Business Administration, Babes-Bolyai University of Cluj Napoca, Cluj Napoca, Romania

    Rodica Lung

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