Real-World Applications of Evolutionary Computing

EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight Edinburgh, Scotland, UK, April 17, 2000 Proceedings

  • Stefano Cagnoni
Conference proceedings EvoWorkshops 2000

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1803)

Table of contents

  1. Front Matter
    Pages I-XII
  2. EvoIASP Talks

    1. Joe Dumoulin, James A. Foster, James F. Frenzel, Steve McGrew
      Pages 1-11
    2. Christopher T. M. Graae, Peter Nordin, Mats Nordahl
      Pages 12-21
    3. L Meng, Q H Wu, Z Z Yong
      Pages 22-33
    4. D. Prabhu, B. P. Buckles, F. E. Petry
      Pages 34-43
    5. Adelino R. Ferreira da Silva
      Pages 44-53
  3. EvoIASP Posters

    1. Neal R. Harvey, Simon Perkins, Steven P. Brumby, James Theiler, Reid B. Porter, A. Cody Young et al.
      Pages 54-64
    2. Rikard Karlsson, Peter Nordin, Mats Nordahl
      Pages 65-76
    3. Alexander V. Spirov, Dmitry L. Timakin, John Reinitz, David Kosman
      Pages 97-106
  4. EvoSCONDI Papers

    1. L W Cai, Q H Wu, Z Z Yong
      Pages 107-116
    2. Y. J. Cao, N. Ireson, L. Bull, R. Miles
      Pages 117-126
    3. John R. Koza, Martin A. Keane, Jessen Yu, William Mydlowec, Forrest H Bennett III
      Pages 168-177
    4. W H Tang, H Zeng, K I Nuttall, Z Richardson, E Simonson, Q H Wu
      Pages 195-204

About these proceedings

Introduction

The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated back to the - vention of computers, and a better formal de nition of EC, made in the 1960s, the quest for real-world applications of EC only began in the late 1980s. The dramatic increase in computer performances in the last decade of the 20th c- tury gave rise to a positive feedback process: EC techniques became more and more applicable, stimulating the growth of interest in their study, and allowing, in turn, new powerful EC paradigms to be devised. In parallel with new theoretical results, the number of elds to which EC is being applied is increasing day by day, along with the complexity of applications and application domains. In particular, industrially relevant elds, such as signal and image processing, computer vision, pattern recognition, industrial control, telecommunication, scheduling and timetabling, and aerospace engineering are employing EC techniques to solve complex real-world problems.

Keywords

Aeronautics Ant algorithm Control Telecommunications Evolutionary Algorithms Fuzzy Genetic Algorithms Robotics Scheduling algorithms architecture automation construction genetic programming modeling topology

Editors and affiliations

  • Stefano Cagnoni
    • 1
  1. 1.Department of Computer EngineeringUniversity of ParmaParmaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45561-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-67353-8
  • Online ISBN 978-3-540-45561-5
  • Series Print ISSN 0302-9743
  • About this book