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Studies in Computational Intelligence

Foundations of Computational Intelligence Volume 3

Global Optimization

Editors: Abraham, A., Hassanien, A.-E., Siarry, P., Engelbrecht, A. (Eds.)

  • Third volume of a reference work on the foundations of Computational Intelligence
  • This volume is devoted to global optimization
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eBook $179.00
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  • ISBN 978-3-642-01085-9
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Hardcover $229.00
price for USA
  • ISBN 978-3-642-01084-2
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  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
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  • ISBN 978-3-642-10165-6
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About this book

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc.

Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization problems.

This edited volume comprises 17 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of global optimization. Besides research articles and expository papers on theory and algorithms of global optimization, papers on numerical experiments and on real world applications were also encouraged. The book is divided into 2 main parts.

Table of contents (17 chapters)

  • Genetic Algorithms for the Use in Combinatorial Problems

    Snášel, Václav (et al.)

    Pages 3-22

  • Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications

    Das, Swagatam (et al.)

    Pages 23-55

  • Global Optimization Using Harmony Search: Theoretical Foundations and Applications

    Geem, Zong Woo

    Pages 57-73

  • Hybrid GRASP Heuristics

    Festa, Paola (et al.)

    Pages 75-100

  • Particle Swarm Optimization: Performance Tuning and Empirical Analysis

    Pant, Millie (et al.)

    Pages 101-128

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-3-642-01085-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-3-642-01084-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-3-642-10165-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Foundations of Computational Intelligence Volume 3
Book Subtitle
Global Optimization
Editors
  • Ajith Abraham
  • Aboul-Ella Hassanien
  • Patrick Siarry
  • Andries Engelbrecht
Series Title
Studies in Computational Intelligence
Series Volume
203
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-01085-9
DOI
10.1007/978-3-642-01085-9
Hardcover ISBN
978-3-642-01084-2
Softcover ISBN
978-3-642-10165-6
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 528
Topics