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Adaptive and Natural Computing Algorithms

11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Marco Tomassini

    1. Départment des Systémes d’Information, Quartier UNIL-Dorigny, Bâtiment Internef, Université de Lausanne, Lausanne, Switzerland

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  2. Alberto Antonioni

    1. Départment des Systémes d’Information, Quartier UNIL-Dorigny, Bâtiment Internef, Université de Lausanne, Lausanne, Switzerland

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  3. Fabio Daolio

    1. Départment des Systémes d’Information, Quartier UNIL-Dorigny, Bâtiment Internef, Université de Lausanne, Lausanne, Switzerland

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  4. Pierre Buesser

    1. Départment des Systémes d’Information, Quartier UNIL-Dorigny, Bâtiment Internef, Université de Lausanne, Lausanne, Switzerland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7824)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Conference proceedings info: ICANNGA 2013.

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About this book

The book constitutes the refereed proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013, held in Lausanne, Switzerland, in April 2013.
The 51 revised full papers presented were carefully reviewed and selected from a total of 91 submissions. The papers are organized in topical sections on neural networks, evolutionary computation, soft computing, bioinformatics and computational biology, advanced computing, and applications.

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Keywords

Table of contents (51 papers)

  1. Front Matter

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  2. On Appropriate Refractoriness and Weight Increment in Incremental Learning

    • Toshinori Deguchi, Junya Fukuta, Naohiro Ishii
    Pages 1-9

  3. Vector Generation and Operations in Neural Networks Computations

    • Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki
    Pages 10-19

  4. Synaptic Scaling Balances Learning in a Spiking Model of Neocortex

    • Mark Rowan, Samuel Neymotin
    Pages 20-29

  5. Can Two Hidden Layers Make a Difference?

    • Věra Kůrková, Marcello Sanguineti
    Pages 30-39

  6. Time Series Visualization Using Asymmetric Self-Organizing Map

    • Dominik Olszewski, Janusz Kacprzyk, Sławomir Zadrożny
    Pages 40-49

  7. Intelligence Approaches Based Direct Torque Control of Induction Motor

    • Moulay Rachid Douiri, Mohamed Cherkaoui
    Pages 50-59

  8. Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm

    • Maria Semenkina, Eugene Semenkin
    Pages 60-69

  9. A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems

    • María Arsuaga-Ríos, Miguel A. Vega-Rodríguez
    Pages 70-79

  10. A Framework for Derivative Free Algorithm Hybridization

    • Jose Luis Espinosa-Aranda, Ricardo Garcia-Rodenas, Eusebio Angulo
    Pages 80-89

  11. PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem

    • Ana Paula Silva, Arlindo Silva, Irene Rodrigues
    Pages 90-99

  12. Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer

    • Arlindo Silva, Teresa Gonçalves
    Pages 100-109

  13. Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms

    • Matthew Crossley, Andy Nisbet, Martyn Amos
    Pages 110-119

  14. Evolutionary Generation of Small Oscillating Genetic Networks

    • Matthijs van Dorp, Bruno Lannoo, Enrico Carlon
    Pages 120-129

  15. Using Scout Particles to Improve a Predator-Prey Optimizer

    • Arlindo Silva, Ana Neves, Teresa Gonçalves
    Pages 130-139

  16. QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm

    • Zeineb Chelly, Zied Elouedi
    Pages 140-150

  17. Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian

    • Günter Rudolph
    Pages 151-160

  18. The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems

    • Tatiana Tambouratzis, Vassileios Kanellidis
    Pages 161-168

  19. Using Genetic Programming to Estimate Performance of Computational Intelligence Models

    • Jakub Šmíd, Roman Neruda
    Pages 169-178

  20. Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem

    • Leonor Melo, Francisco Pereira, Ernesto Costa
    Pages 179-188
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Other volumes

  1. Adaptive and Natural Computing Algorithms

Editors and Affiliations

  • Départment des Systémes d’Information, Quartier UNIL-Dorigny, Bâtiment Internef, Université de Lausanne, Lausanne, Switzerland

    Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser

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