Applications of Evolutionary Computation

1. Front Matter

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2. EvoCOMNET Contributions

   1. Investigation of Hyper-Heuristics for Designing Survivable Virtual Topologies in Optical WDM Networks

      • Fatma Corut Ergin, A. Şima Uyar, Ayşegül Yayimli

      Pages 1-10

   2. On Improving the Capacity of Solving Large-scale Wireless Network Design Problems by Genetic Algorithms

      • Fabio D’Andreagiovanni

      Pages 11-20

   3. Dynamic Routing Exponent Strategies for Ant-Based Protocols

      • Rui Fang, Zequn Huang, Louis F. Rossi, Chien-Chung Shen

      Pages 21-30

   4. Ant-Based Multipath Routing for Wireless Mesh Networks

      • Laurent Paquereau, Bjarne E. Helvik

      Pages 31-40

   5. A Multiobjective Gravitational Search Algorithm Applied to the Static Routing and Wavelength Assignment Problem

      • Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido, Juan M. Sánchez-Pérez

      Pages 41-50

   6. A Population Based Incremental Learning for Delay Constrained Network Coding Resource Minimization

      • Huanlai Xing, Rong Qu

      Pages 51-60

   7. Extremal Optimization Applied to Task Scheduling of Distributed Java Programs

      • Eryk Laskowski, Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik

      Pages 61-70

   8. Data-Centered Scheduling for Addressing Performance Metrics on WSN

      • Lia Susana d. C. Silva-Lopez, Jonatan Gomez

      Pages 71-80

3. EvoFIN Contributions

   1. Using Evolutionary Neural Networks to Test the Influence of the Choice of Numeraire on Financial Time Series Modeling

      • Antonia Azzini, Mauro Dragoni, Andrea G. B. Tettamanzi

      Pages 81-90

   2. Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework

      • Michael Kampouridis, Shu-Heng Chen, Edward Tsang

      Pages 91-100

   3. Macro-economic Time Series Modeling and Interaction Networks

      • Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller

      Pages 101-110

   4. Learning and Predicting Financial Time Series by Combining Natural Computation and Agent Simulation

      • Filippo Neri

      Pages 111-119

   5. A Preliminary Investigation of Overfitting in Evolutionary Driven Model Induction: Implications for Financial Modelling

      • Clíodhna Tuite, Alexandros Agapitos, Michael O’Neill, Anthony Brabazon

      Pages 120-130

   6. On the Performance and Convergence Properties of Hybrid Intelligent Schemes: Application on Portfolio Optimization Domain

      • Vassilios Vassiliadis, Nikolaos Thomaidis, George Dounias

      Pages 131-140

4. EvoHOT Contributions

   1. Genetic Defect Based March Test Generation for SRAM

      • Stefano Di Carlo, Gianfranco Politano, Paolo Prinetto, Alessandro Savino, Alberto Scionti

      Pages 141-150

   2. Improving ESOP-Based Synthesis of Reversible Logic Using Evolutionary Algorithms

      • Rolf Drechsler, Alexander Finder, Robert Wille

      Pages 151-161

   3. Evolution of Test Programs Exploiting a FSM Processor Model

      • Ernesto Sanchez, Giovanni Squillero, Alberto Tonda

      Pages 162-171

   4. Enhanced Reverse Engineering Using Genetic-Algorithms-Based Experimental Parallel Workflow for Optimum Design

      • Damir Vučina, Igor Pehnec

      Pages 172-183

   5. Fault-Tolerance Simulation of Brushless Motor Control Circuits

      • Huicong Wu, Jie Chu, Liang Yuan, Qiang Zhao, Shanghe Liu

      Pages 184-193

This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMNET, EvoFIN, EvoIHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOC. The 51 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.

• data mining
• evolutionary algorithms
• genetic programming
• metaheuristics
• particle swarm optimization

• Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK

  Cecilia Chio

• School of Business, University College Dublin, Belfield, UK

  Anthony Brabazon

• Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Manno-Lugano, Switzerland

  Gianni A. Caro

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

  Rolf Drechsler

• Next Generation Intelligent Networks Research Center (nexGIN RC), National University of Computer & Emerging Sciences (FAST-NU), Islamabad, Pakistan

  Muddassar Farooq

• Department of Information Systems, Johannes Gutenberg-Universität, Mainz, Germany

  Jörn Grahl

• Mathematics and Computer Science Depatment, University of Richmond, Richmond, USA

  Gary Greenfield

• ICD - OSI, University of Technology of Troyes, Troyes, France

  Christian Prins

• Facultad de Informatica, Universidade de A Coruña, Coruña, Spain

  Juan Romero

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

  Giovanni Squillero

• Consiglio Nazionale delle Ricerche (CNR), Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Naples, Italy

  Ernesto Tarantino

• Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Crema (CR), Italy

  Andrea G. B. Tettamanzi

• School of Computing, Edinburgh Napier University, Edinburgh, UK

  Neil Urquhart

• Computer Engineering Department, Istanbul Technical University, Istanbul, Turkey

  A. Şima Uyar

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