Evolutionary optimization
Author(s)
Bibliographic Information
Evolutionary optimization
(International series in operations research & management science, 48)
Kluwer Academic Publishers, c2002
Available at 31 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
"ISOR 48"--Back cover
Description and Table of Contents
Description
Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.
Table of Contents
- Preface. Contributing Authors. Part I: Introduction. 1. Conventional Optimization Techniques
- M.S. Hillier, F.S. Hillier. 2. Evolutionary Computation
- Xin Yao. Part II: Single Objective Optimization. 3. Evolutionary Algorithms and Constrained Optimization
- Z. Michalewicz, M. Schmidt. 4. Constrained Evolutionary Optimization
- T. Runarsson, Xin Yao. Part III: Multi-Objective Optimization. 5. Evolutionary Multiobjective Optimization
- C.A. Coello Coello. 6. MEA for Engineering Shape Design
- K. Deb, T. Goel. 7. Assessment Methodologies for MEAs
- R. Saker, C.A. Coello Coello. Part IV: Hybrid Algorithms. 8. Hybrid Genetic Algorithms
- J.A. Joines, M.G. Kay. 9. Combining choices of heuristics
- P. Ross, E. Hart. 10. Nonlinear Constrained Optimization
- B.W. Wah, Yi-Xin Chen. Part V: Parameter Selection in EAs. 11. Parameter Selection
- Z. Michalewicz, et al. Part VI: Application of EAs to Practical Problems. 12. Design of Production Facilities. 13. Virtual Population and Acceleration Techniques. Part VII: Application of EAs to Theoretical Problems. 14. Methods for the analysis of EAs on pseudo-boolean functions
- I. Wegener. 15. A GA Heuristic For Finite Horizon POMDPs
- A.Z.-Z. Lin, et al. 16. Finding Good k-Tree Subgraphs
- E. Ghashghai, R.L. Rardin. Index.
by "Nielsen BookData"