Evolutionary Algorithms

  • Lawrence David Davis
  • Kenneth De Jong
  • Michael D. Vose
  • L. Darrell Whitley

Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 111)

Table of contents

  1. Front Matter
    Pages i-x
  2. Ioannis T. Christou, Wayne Martin, Robert R. Meyer
    Pages 1-15
  3. Rogene M. Eichler West, Erik De Schutter, George L. Wilcox
    Pages 33-64
  4. David B. Fogel
    Pages 89-109
  5. David Levine, Philip Hallstrom, David Noelle, Brian Walenz
    Pages 139-149
  6. J. R. Morris, D. M. Deaven, K. M. Ho, C. Z. Wang, B. C. Pan, J. G. Wacker et al.
    Pages 167-175
  7. Soraya Rana, L. Darrell Whitley
    Pages 177-189
  8. Colin R. Reeves, Christine C. Wright
    Pages 207-226
  9. Back Matter
    Pages 294-300

About this book


This IMA Volume in Mathematics and its Applications EVOLUTIONARY ALGORITHMS is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on "MATHEMATICS IN HIGH-PERFORMANCE COMPUTING." I thank Lawrence David Davis (Tica Associates), Kenneth De Jong (Computer Science, George Mason University), Michael D. Vose (Computer Science, The University of Tennessee), and L. Darrell Whitley (Computer Science, Colorado State University) for their excellent work in organizing the workshop and for editing the proceedings. Further appreciation is ex­ tended to Donald G. Truhlar (Chemistry and Supercomputing Institute, University of Minnesota) who was also one of the workshop organizers. In addition, I also take this opportunity to thank the National Science Foundation (NSF), Minnesota Supercomputing Institute (MSI), and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr., Professor and Director v PREFACE The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers working in the area of Evolutionary Com­ putation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 30 years and today consists a variety of subfields such as genetic algorithms, evolution strate­ gies, evolutionary programming, and genetic programming, each with their own algorithmic perspectives and goals.


control evolution evolutionary algorithm evolutionary computation evolutionary strategies genetic algorithms genetic programming optimization

Editors and affiliations

  • Lawrence David Davis
    • 1
  • Kenneth De Jong
    • 2
  • Michael D. Vose
    • 3
  • L. Darrell Whitley
    • 4
  1. 1.Tica AssociatesNewburyUSA
  2. 2.Computer Science DepartmentGeorge Mason UniversityFairfaxUSA
  3. 3.Computer Science DepartmentThe University of TennesseeKnoxvilleUSA
  4. 4.Computer Science DepartmentColorado State UniversityFort CollinsUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York,Inc. 1999
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7185-7
  • Online ISBN 978-1-4612-1542-4
  • Series Print ISSN 0940-6573
  • Buy this book on publisher's site