Applications of Evolutionary Computing

1. Front Matter

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2. EvoCOMNET Contributions

   1. Web Application Security through Gene Expression Programming

      • Jaroslaw Skaruz, Franciszek Seredynski

      Pages 1-10

   2. Location Discovery in Wireless Sensor Networks Using a Two-Stage Simulated Annealing

      • Guillermo Molina, Enrique Alba

      Pages 11-20

   3. Wireless Communications for Distributed Navigation in Robot Swarms

      • Gianni A. Di Caro, Frederick Ducatelle, Luca M. Gambardella

      Pages 21-30

   4. An Evolutionary Algorithm for Survivable Virtual Topology Mapping in Optical WDM Networks

      • Fatma Corut Ergin, Ayşegül Yayımlı, Şima Uyar

      Pages 31-40

   5. Extremal Optimization as a Viable Means for Mapping in Grids

      • Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino

      Pages 41-50

   6. Swarm Intelligence Inspired Multicast Routing: An Ant Colony Optimization Approach

      • Xiao-Min Hu, Jun Zhang, Li-Ming Zhang

      Pages 51-60

   7. A Framework for Evolutionary Peer-to-Peer Overlay Schemes

      • Michele Amoretti

      Pages 61-70

   8. Multiuser Scheduling in HSDPA with Particle Swarm Optimization

      • Mehmet E. Aydin, Raymond Kwan, Cyril Leung, Jie Zhang

      Pages 71-80

   9. Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks

      • Markus Wälchli, Torsten Braun

      Pages 81-86

   10. Peer-to-Peer Optimization in Large Unreliable Networks with Branch-and-Bound and Particle Swarms

       • Balázs Bánhelyi, Marco Biazzini, Alberto Montresor, Márk Jelasity

       Pages 87-92

   11. Evolving High-Speed, Easy-to-Understand Network Intrusion Detection Rules with Genetic Programming

       • Agustin Orfila, Juan M. Estevez-Tapiador, Arturo Ribagorda

       Pages 93-98

   12. Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection

       • Antonia Azzini, Matteo De Felice, Sandro Meloni, Andrea G. B. Tettamanzi

       Pages 99-104

   13. Testing Detector Parameterization Using Evolutionary Exploit Generation

       • Hilmi G. Kayacık, A. Nur Zincir-Heywood, Malcolm I. Heywood, Stefan Burschka

       Pages 105-110

   14. Ant Routing with Distributed Geographical Localization of Knowledge in Ad-Hoc Networks

       • Michal Kudelski, Andrzej Pacut

       Pages 111-116

   15. Discrete Particle Swarm Optimization for Multiple Destination Routing Problems

       • Zhi-hui Zhan, Jun Zhang

       Pages 117-122

3. EvoENVIRONMENT Contributions

   1. Combining Back-Propagation and Genetic Algorithms to Train Neural Networks for Ambient Temperature Modeling in Italy

      • Francesco Ceravolo, Matteo De Felice, Stefano Pizzuti

      Pages 123-131

   2. Estimating the Concentration of Nitrates in Water Samples Using PSO and VNS Approaches

      • Pablo López-Espí, Sancho Salcedo-Sanz, Á. M. Pérez-Bellido, Emilio G. Ortiz-García, Oscar Alonso-Garrido, Antonio Portilla-Figueras

      Pages 132-141

   3. Optimal Irrigation Scheduling with Evolutionary Algorithms

      • Michael de Paly, Andreas Zell

      Pages 142-151

   4. Adaptive Land-Use Management in Dynamic Ecological System

      • Nanlin Jin, Daniel S. Chapman, Klaus Hubacek

      Pages 152-161

The year 2009 celebrates the bicentenary of Darwin’s birth and the 150th - niversary of the publication of his seminal work, On the Origin of Species.If this makes 2009 a special year for the research community working in biology and evolution, the ?eld of evolutionary computation (EC) also shares the same excitement. EC techniques are e?cient, nature-inspired planning and optimi- tion methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these methods can be used in the context of problem solving, optimization, and machine learning. A large and ever-increasing number of researchers and professionals make use of EC te- niques in various application domains. ThisvolumepresentsacarefulselectionofrelevantECapplicationscombined 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 can help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving.

• Augmented Reality
• Automat
• ad-hoc networks
• ant colony optimization
• artificial life
• bio-inspired algorithm
• classification
• cognitive maps
• communications
• computational finance
• data mining
• distributed systems
• image analysis
• optimization
• tar

• Department of Animal Production Epidemiology and Ecology, University of Torino, Grugliasco, Italy

  Mario Giacobini

• Quinn School of Business, Belfield, University College Dublin, Dublin 4, Ireland

  Anthony Brabazon

• Department of Computer Engineering, University of Parma, Parma, Italy

  Stefano Cagnoni

• Dalla Molle Institute for Artificial Intelligence (IDSIA), Manno-Lugano, Switzerland

  Gianni A. Caro

• School of Engineering and Applied Science,Aston Triangle, Aston University, Birmingham, UK

  Anikó Ekárt

• Complex Adaptive Systems Group, Instituto Tecnológico de Informática, Ciudad PolitŽcnica de la Innovacin, Edif. 8G Acceso B, Valencia, Spain

  Anna Isabel Esparcia-Alcázar

• Next Generation Itelligent Networks Research Center (nexGIN RC), National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan

  Muddassar Farooq

• Faculty of Economics and Social Sciences, Helmut-Schmidt-University, Hamburg, Germany

  Andreas Fink

• Department of Informatics Engineering, Polo II - Pinhal de Marrocos, University of Coimbra, Coimbra, Portugal

  Penousal Machado

Policies and ethics