Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3102)
Conference series link(s): GECCO: Genetic and Evolutionary Computation Conference
Conference proceedings info: GECCO 2004.
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Table of contents (135 papers)
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Front Matter
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A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization
Other Volumes
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Genetic and Evolutionary Computation – GECCO 2004
About this book
The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004.
The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.
Keywords
Editors and Affiliations
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Indian Institute of Technology Kanpur, Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory (KanGAL), Kanpur, India
Kalyanmoy Deb
Bibliographic Information
Book Title: Genetic and Evolutionary Computation — GECCO 2004
Book Subtitle: Genetic and Evolutionary Computation Conference Seattle, WA, USA, June 26–30, 2004, Proceedings, Part I
Editors: Kalyanmoy Deb
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b98643
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Softcover ISBN: 978-3-540-22344-3Published: 12 October 2004
eBook ISBN: 978-3-540-24854-5Published: 01 June 2004
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: C, 1448
Topics: Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Artificial Intelligence, Processor Architectures, Discrete Mathematics in Computer Science, Bioinformatics