Particle swarm optimization and intelligence [electronic resource] : advances and applications / Konstantinos E. Parsopoulos, Michael N. Vrahatis.
Publication details: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2010.Description: electronic texts (xvii, 310 p. : ill.) : digital filesISBN:- 9781615206674 (ebook)
- Mathematical optimization
- Particles (Nuclear physics)
- Swarm intelligence
- Applications in machine learning
- Applications in operations research
- Classical optimization algorithms
- Detection of periodic orbits
- Fuzzy cognitive maps learning
- Initialization techniques
- Inverse scattering problem
- Neural networks training for bioinformatics
- Optimization problems
- Particle swarm optimization
- Sensitivity analysis and implications
- Swarm intelligence
- Theoretical analyses of particle trajectories
- 519.6 22
- QC20.7.M27 P37 2010e
- Also available in print.
eBooks
Includes bibliographical references and index.
1. Introduction -- 2. Particle swarm optimization -- 3. Theoretical derivations and application issues -- 4. Established and recently proposed variants of particle swarm optimization -- 5. Performance-enhancing techniques -- 6. Applications in machine learning -- 7. Applications in dynamical systems -- 8. Applications in operations research -- 9. Applications in bioinformatics and medical informatics -- 10. Applications in noisy and dynamic environments -- 11. Applications in multiobjective, constrained and minimax problems -- 12. Afterword.
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This book examines modern intelligent optimization algorithms proven as very efficient in applications from various scientific and technological fields. Providing distinguished and unique research, this innovative publication offers a compendium of leading field experiences as well as theoretical analyses and complementary techniques useful to academicians and practitioners--Provided by publisher.
Also available in print.
Mode of access: World Wide Web.
Title from ebook home page (viewed on Aug. 1, 2010).