Adaptive and Natural Computing Algorithms

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

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.

• adaptive algorithms
• artificial neural networks
• machine learning
• pattern recognition
• swarm computing
• algorithm analysis and problem complexity

• 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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