Foundations of Computational Intelligence Volume 3

Global Optimization

  • Ajith Abraham
  • Aboul-Ella Hassanien
  • Patrick Siarry
  • Andries Engelbrecht

Part of the Studies in Computational Intelligence book series (SCI, volume 203)

Table of contents

  1. Front Matter
  2. Global Optimization Algorithms: Theoretical Foundations and Perspectives

    1. Front Matter
      Pages 1-1
    2. Václav Snášel, Jan Platoš, Pavel Krömer, Nabil Ouddane
      Pages 3-22
    3. Swagatam Das, Arijit Biswas, Sambarta Dasgupta, Ajith Abraham
      Pages 23-55
    4. Paola Festa, Mauricio G. C. Resende
      Pages 75-100
    5. Millie Pant, Radha Thangaraj, Ajith Abraham
      Pages 101-128
    6. Leo Liberti, Sonia Cafieri, Fabien Tarissan
      Pages 153-234
    7. Zikrija Avdagić, Samim Konjicija, Samir Omanović
      Pages 267-289
  3. Global Optimization Algorithms: Applications

    1. Front Matter
      Pages 313-313
    2. Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu
      Pages 315-346
    3. Roberto Baragona, Francesco Battaglia
      Pages 347-386
    4. Rachid Chelouah, Claude Baron, Marc Zholghadri, Citlalih Gutierrez
      Pages 387-423
    5. Elizabeth F. Gouvêa Goldbarg, Marco C. Goldbarg
      Pages 425-460
    6. Fatma A. Omara, Mona M. Arafa
      Pages 479-507
    7. Mohammed El-Abd, Mohamed S. Kamel
      Pages 509-526
  4. Back Matter

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.


Computational Intelligence Global Optimization algorithm architecture circuit design combinatorial optimization data analysis evolutionary algorithm genetic algorithms heuristics machine learning metaheuristic numerical analysis optimization search strategy

Editors and affiliations

  • Ajith Abraham
    • 1
  • Aboul-Ella Hassanien
    • 2
  • Patrick Siarry
    • 3
  • Andries Engelbrecht
    • 4
  1. 1.Machine Intelligence Research Labs (MIR Labs)Scientific Network for Innovation and Research ExcellenceAuburn, WashingtonUSA
  2. 2.College of Business Administration Quantitative and Information System DepartmentKuwait UniversitySafatKuwait
  3. 3.Université Paris XII Fac. Sciences, LERISSCréteilFrance
  4. 4.Department of Computer ScienceUniversity of PretoriaPretoriaSouth Africa

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-01084-2
  • Online ISBN 978-3-642-01085-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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