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Applications of Evolutionary Computing

Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Franz Rothlauf

    1. Johannes Gutenberg University, Mainz, Germany

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  2. Jürgen Branke

    1. Institute AIFB, University of Karlsruhe, Karlsruhe, Germany

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  3. Stefano Cagnoni

    1. Dipartimento di Ingegneria dell’Informazione, Università di Parma,  

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  4. David Wolfe Corne

    1. School of Mathematical and Computer Science, Heriot-Watt University, Edinburgh, UK

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  5. Rolf Drechsler

    1. Institute of Computer Science, University of Bremen, Bremen, Germany

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  6. Yaochu Jin

    1. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

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  7. Penousal Machado

    1. CISUC, Department of Informatics Engineering, University of Coimbra, Polo II of the University of Coimbra, Coimbra, Portugal

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  8. Elena Marchiori

    1. ICIS, Radboud University Nijmegen, The Netherlands

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  9. Juan Romero

    1. Universidade de A Coruña, A Coruña, Spain

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  10. George D. Smith

    1. School of Computing Sciences, University of East Anglia, UEA Norwich, Norwich, UK

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  11. Giovanni Squillero

    1. Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3449)

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

Included in the following conference series:

Conference proceedings info: EvoWorkshops 2005.

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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 the simple underlying principles, these methods can be used for a large number of problems in the context of problem solving,optimization,andmachinelearning. Alargeandcontinuouslyincreasing number of researchers and practitioners make use of EC techniques in many - plication domains. The book at hand presents a careful selection of relevant EC applications combined with thorough examinations of techniques for a successful application of EC. The presented papers illustrate the current state of the art in the application of EC and should help and inspire researchers and practitioners to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2005, which was a varying collection of workshops on application-oriented aspects of EC. Since 1999, the format of the EvoWorkshops has proved to be very successful and well representative of the advances in the application of EC. Consequently, over the last few years, EvoWorkshops has become one of the major events addressing the application of EC. In contrast to other large conferences in the EC ?eld, the EvoWorkshops focus solely on application aspects of EC and are an important link between EC research and the application of EC in a large variety of di?erent domains.

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Table of contents (66 papers)

  1. Front Matter

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  2. EvoBIO Contributions

    1. Evolutionary Biclustering of Microarray Data

      • Jesus S. Aguilar–Ruiz, Federico Divina
      Pages 1-10

    2. A Fuzzy Viterbi Algorithm for Improved Sequence Alignment and Searching of Proteins

      • N. P. Bidargaddi, M Chetty, J Kamruzzaman
      Pages 11-21

    3. Tabu Search Method for Determining Sequences of Amino Acids in Long Polypeptides

      • Jacek Błażewicz, Marcin Borowski, Piotr Formanowicz, Maciej Stobiecki
      Pages 22-32

    4. Order Preserving Clustering over Multiple Time Course Experiments

      • Stefan Bleuler, Eckart Zitzler
      Pages 33-43

    5. Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?

      • William S. Bush, Alison A. Motsinger, Scott M. Dudek, Marylyn D. Ritchie
      Pages 44-53

    6. A Class of Pareto Archived Evolution Strategy Algorithms Using Immune Inspired Operators for Ab-Initio Protein Structure Prediction

      • Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicosia
      Pages 54-63

    7. Neural Networks and Temporal Gene Expression Data

      • A. Krishna, A. Narayanan, E. C. Keedwell
      Pages 64-73

    8. Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data

      • Elena Marchiori, Michèle Sebag
      Pages 74-83

    9. Genes Related with Alzheimer’s Disease: A Comparison of Evolutionary Search, Statistical and Integer Programming Approaches

      • Pablo Moscato, Regina Berretta, Mou’ath Hourani, Alexandre Mendes, Carlos Cotta
      Pages 84-94

    10. Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins

      • Koliya Pulasinghe, Jagath C. Rajapakse
      Pages 95-104

    11. An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification

      • Denise F. Tsunoda, Heitor S. Lopes, Alex A. Freitas
      Pages 105-114

    12. Differential Evolution and Its Application to Metabolic Flux Analysis

      • Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright
      Pages 115-124

    13. GEMPLS: A New QSAR Method Combining Generic Evolutionary Method and Partial Least Squares

      • Yen-Chih Chen, Jinn-Moon Yang, Chi-Hung Tsai, Cheng-Yan Kao
      Pages 125-135

  3. EvoCOMNET Contributions

    1. A Performance Evaluation Framework for Nature Inspired Routing Algorithms

      • Horst F. Wedde, Muddassar Farooq
      Pages 136-146

    2. Empirical Models Based on Hybrid Intelligent Systems for Assessing the Reliability of Complex Networks

      • Douglas E. Torres D., Claudio M. Rocco S.
      Pages 147-155

    3. A Study of an Iterated Local Search on the Reliable Communication Networks Design Problem

      • Dirk Reichelt, Peter Gmilkowsky, Sebastian Linser
      Pages 156-165

    4. Unsupervised Anomaly Detection Based n an Evolutionary Artificial Immune Network

      • Liu Fang, Lin Le-Ping
      Pages 166-174

    5. Evolutionary Algorithms for Location Area Management

      • Bahar Karaoğlu, Haluk Topçuoğlu, Fikret Gürgen
      Pages 175-184

  4. EvoHOT Contributions

    1. Evolutionary Design of Gate-Level Polymorphic Digital Circuits

      • Lukáš Sekanina
      Pages 185-194
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Other volumes

  1. Applications of Evolutionary Computing

Editors and Affiliations

  • Johannes Gutenberg University, Mainz, Germany

    Franz Rothlauf

  • Institute AIFB, University of Karlsruhe, Karlsruhe, Germany

    Jürgen Branke

  • Dipartimento di Ingegneria dell’Informazione, Università di Parma,  

    Stefano Cagnoni

  • School of Mathematical and Computer Science, Heriot-Watt University, Edinburgh, UK

    David Wolfe Corne

  • Institute of Computer Science, University of Bremen, Bremen, Germany

    Rolf Drechsler

  • Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

  • CISUC, Department of Informatics Engineering, University of Coimbra, Polo II of the University of Coimbra, Coimbra, Portugal

    Penousal Machado

  • ICIS, Radboud University Nijmegen, The Netherlands

    Elena Marchiori

  • Universidade de A Coruña, A Coruña, Spain

    Juan Romero

  • School of Computing Sciences, University of East Anglia, UEA Norwich, Norwich, UK

    George D. Smith

  • Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy

    Giovanni Squillero

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