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Simulated Evolution and Learning

Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, November 24-27, 1998 Selected Papers

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Bob McKay

    1. School of Computer Science, University College, UNSW Australian Defence Force Academy, Canberra, Australia

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  2. Xin Yao

    1. School of Computer Science, University College, UNSW Australian Defence Force Academy, Canberra, Australia

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  3. Charles S. Newton

    1. School of Computer Science, University College, UNSW Australian Defence Force Academy, Canberra, Australia

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  4. Jong-Hwan Kim

    1. Department of Electrical Engineering Korea Advanced Institute of Science and Technology, Taejon-shi, Korea

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  5. Takeshi Furuhashi

    1. Department of Information Electronics, Nagoya University, Nagoya, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1585)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: SEAL 1998.

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Table of contents (59 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. Natural Computation

    • Hans-Paul Schwefel
    Pages 1-1

  3. Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization

    • Hyun Myung, Jong-Hwan Kim
    Pages 2-9

  4. Robust Evolution Strategies

    • Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda
    Pages 10-17

  5. Hybrid Genetic Algorithm for Solving the p-Median Problem

    • Vladimir Estivill-Castro, Rodolfo Torres-Velázquez
    Pages 18-25

  6. Correction of Reflection Lines Using Genetic Algorithms

    • Binh Pham, Zhongwei Zhang
    Pages 26-33

  7. Adaptation under Changing Environments with Various Rates of Inheritance of Acquired Characters

    • Takahiro Sasaki, Mario Tokoro
    Pages 34-41

  8. Dynamic Control of Adaptive Parameters in Evolutionary Programming

    • Ko-Hsin Liang, Xin Yao, Charles Newton
    Pages 42-49

  9. Information Operator Scheduling by Genetic Algorithms

    • Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
    Pages 50-57

  10. Solving Radial Topology Constrained Problems with Evolutionary Algorithms

    • P. M. S. Carvalho, L. A. F. M. Ferreira, L. M.
    Pages 58-65

  11. Automating Space Allocation in Higher Education

    • E. K. Burke, D. B. Varley
    Pages 66-73

  12. Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection

    • Hongxing He, Warwick Graco, Xin Yao
    Pages 74-81

  13. Evolution of Reference Sets in Nearest Neighbor Classification

    • Hisao Ishibuchi, Tomoharu Nakashima
    Pages 82-89

  14. Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology

    • Michael Kirley, Xiaodong Li, David G. Green
    Pages 90-97

  15. Quantifying Neighborhood Preservation: Joint Properties of Evolutionary and Unsupervised Neural Learning

    • Ralf Garionis
    Pages 98-105

  16. Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering

    • Martin Mandischer, Hannes Geyer, Peter Ulbig
    Pages 106-113

  17. Evolving FPGA Based Cellular Automata

    • Reid Porter, Neil Bergmann
    Pages 114-121

  18. Asynchronous Island Parallel GA Using Multiform Subpopulations

    • Hirosuke Horii, Susumu Kunifuji, Teruo Matsuzawa
    Pages 122-129

  19. Multiple Sequence Alignment Using Parallel Genetic Algorithms

    • L. A. Anbarasu, P. Narayanasamy, V. Sundararajan
    Pages 130-137

  20. Evolving Logic Programs to Classify Chess-Endgame Positions

    • Philip G. K. Reiser, Patricia J. Riddle
    Pages 138-145
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  1. Simulated Evolution and Learning

Keywords

About this book

This volume contains selected papers presented at the Second Asia-Paci c C- ference on Simulated Evolution and Learning (SEAL’98), from 24 to 27 Nov- ber 1998, in Canberra, Australia. SEAL’98 received a total of 92 submissions (67 papers for the regular sessions and 25 for the applications sessions). All papers were reviewed by three independent reviewers. After review, 62 papers were - cepted for oral presentation and 13 for poster presentation. Some of the accepted papers were selected for inclusion in this volume. SEAL’98 also featured a fully refereed special session on Evolutionary Computation in Power Engineering - ganised by Professor Kit Po Wong and Dr Loi Lei Lai. Two of the ve accepted papers are included in this volume. The papers included in these proceedings cover a wide range of topics in simulated evolution and learning, from self-adaptation to dynamic modelling, from reinforcement learning to agent systems, from evolutionary games to e- lutionary economics, and from novel theoretical results to successful applications, among others. SEAL’98 attracted 94 participants from 14 di erent countries, namely A- tralia, Belgium, Brazil, Germany, Iceland, India, Japan, South Korea, New Z- land, Portugal, Sweden, Taiwan, UK and the USA. It had three distinguished international scientists as keynote speakers, giving talks on natural computation (Hans-Paul Schwefel), reinforcement learning (Richard Sutton), and novel m- els in evolutionary design (John Gero). More information about SEAL’98 is still available at http://www.cs.adfa.edu.au/conference/seal98/.

Editors and Affiliations

  • School of Computer Science, University College, UNSW Australian Defence Force Academy, Canberra, Australia

    Bob McKay, Xin Yao, Charles S. Newton

  • Department of Electrical Engineering Korea Advanced Institute of Science and Technology, Taejon-shi, Korea

    Jong-Hwan Kim

  • Department of Information Electronics, Nagoya University, Nagoya, Japan

    Takeshi Furuhashi

Bibliographic Information

  • Book Title: Simulated Evolution and Learning

  • Book Subtitle: Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, November 24-27, 1998 Selected Papers

  • Editors: Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashi

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-48873-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1999

  • Softcover ISBN: 978-3-540-65907-5Published: 26 May 1999

  • eBook ISBN: 978-3-540-48873-6Published: 21 May 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 478

  • Topics: Artificial Intelligence, Simulation and Modeling, Computation by Abstract Devices

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