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Applications of Evolutionary Computing

EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog

  • Conference proceedings
  • © 2008

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Editors:
  1. Mario Giacobini
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  2. Anthony Brabazon
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  3. Stefano Cagnoni
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  4. Gianni A. Caro
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  5. Rolf Drechsler
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  6. Anikó Ekárt
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  7. Anna Isabel Esparcia-Alcázar
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  8. Muddassar Farooq
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  9. Andreas Fink
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  10. Jon McCormack
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  11. Michael O’Neill
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  12. Juan Romero
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  13. Franz Rothlauf
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  14. Giovanni Squillero
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  15. A. Şima Uyar
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  16. Shengxiang Yang
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4974)

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

Included in the following conference series:

Conference proceedings info: EvoWorkshops 2008.

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About this book

Evolutionary computation (EC) techniques are e?cient, nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these me- ods can be used in the context of problem solving, optimization, and machine learning. A large and continuously increasing number of researchers and prof- sionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and - spire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2008, which consisted of a range of workshops on application-oriented aspects of EC. Since 1998, EvoWorkshops has provided a unique opportunity for EC researchers to meet and discuss applicationaspectsofECandhasservedasanimportantlink between EC research and its application in a variety of domains. During these ten years new workshops have arisen, some have disappeared, while others have matured to become conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO last year.

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Table of contents (75 papers)

  1. Front Matter

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  2. EvoCOMNET Contributions

    1. New Research in Nature Inspired Algorithms for Mobility Management in GSM Networks

      • Enrique Alba, José García-Nieto, Javid Taheri, Albert Zomaya
      Pages 1-10

    2. Adaptive Local Search for a New Military Frequency Hopping Planning Problem

      • I. Devarenne, A. Caminada, H. Mabed, T. Defaix
      Pages 11-20

    3. SS vs PBIL to Solve a Real-World Frequency Assignment Problem in GSM Networks

      • José M. Chaves-González, Miguel A. Vega-Rodríguez, David Domínguez-González, Juan A. Gómez-Pulido, Juan M. Sánchez-Pérez
      Pages 21-30

    4. Reconstruction of Networks from Their Betweenness Centrality

      • Francesc Comellas, Juan Paz-Sánchez
      Pages 31-37

    5. A Self-learning Optimization Technique for Topology Design of Computer Networks

      • Angan Das, Ranga Vemuri
      Pages 38-51

    6. A Comparative Study of Fuzzy Inference Systems, Neural Networks and Adaptive Neuro Fuzzy Inference Systems for Portscan Detection

      • M. Zubair Shafiq, Muddassar Farooq, Syed Ali Khayam
      Pages 52-61

  3. EvoFIN Contributions

    1. Evolutionary Single-Position Automated Trading

      • Antonia Azzini, Andrea G. B. Tettamanzi
      Pages 62-72

    2. Genetic Programming in Statistical Arbitrage

      • Philip Saks, Dietmar Maringer
      Pages 73-82

    3. Evolutionary System for Generating Investment Strategies

      • Rafał Dreżewski, Jan Sepielak
      Pages 83-92

    4. Horizontal Generalization Properties of Fuzzy Rule-Based Trading Models

      • Célia da Costa Pereira, Andrea G. B. Tettamanzi
      Pages 93-102

    5. Particle Swarm Optimization for Tackling Continuous Review Inventory Models

      • K. E. Parsopoulos, K. Skouri, M. N. Vrahatis
      Pages 103-112

    6. Option Model Calibration Using a Bacterial Foraging Optimization Algorithm

      • Jing Dang, Anthony Brabazon, Michael O’Neill, David Edelman
      Pages 113-122

    7. A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction Problem

      • E. Alfaro-Cid, A. M. Mora, J. J. Merelo, A. I. Esparcia-Alcázar, K. Sharman
      Pages 123-132

    8. Quantum-Inspired Evolutionary Algorithms for Financial Data Analysis

      • Kai Fan, Anthony Brabazon, Conall O’Sullivan, Michael O’Neill
      Pages 133-143

  4. EvoHOT Contributions

    1. Analysis of Reconfigurable Logic Blocks for Evolvable Digital Architectures

      • Lukas Sekanina, Petr Mikusek
      Pages 144-153

    2. Analogue Circuit Control through Gene Expression

      • Kester Clegg, Susan Stepney
      Pages 154-163

    3. Discovering Several Robot Behaviors through Speciation

      • Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega
      Pages 164-174

    4. Architecture Performance Prediction Using Evolutionary Artificial Neural Networks

      • P. A. Castillo, A. M. Mora, J. J. Merelo, J. L. J. Laredo, M. Moreto, F. J. Cazorla et al.
      Pages 175-183

    5. Evolving a Vision-Driven Robot Controller for Real-World Indoor Navigation

      • Paweł Gajda, Krzysztof Krawiec
      Pages 184-193
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