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  • © 2013

Handbook of Optimization

From Classical to Modern Approach

  • Self contained handbook covering the complete field of optimization
  • Covers classical as well as the modern approaches
  • Written by leading experts

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 38)

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Table of contents (42 chapters)

  1. Front Matter

    Pages 1-10
  2. Bounded Dual Simplex Algorithm: Definition and Structure

    • L. P. Garcés, L. A. Gallego, R. Romero
    Pages 29-50
  3. Some Results on Subanalytic Variational Inclusions

    • Catherine Cabuzel, Alain Pietrus
    Pages 51-72
  4. An Exact Algorithm for the Continuous Quadratic Knapsack Problem via Infimal Convolution

    • L. Bayón, J. M. Grau, M. M. Ruiz, P. M. Suárez
    Pages 97-127
  5. Game Theoretic and Bio-inspired Optimization Approach for Autonomous Movement of MANET Nodes

    • Janusz Kusyk, Cem Safak Sahin, Jianmin Zou, Stephen Gundry, M. Umit Uyar, Elkin Urrea
    Pages 129-155
  6. Multilocal Programming and Applications

    • A. I. Pereira, O. Ferreira, S. P. Pinho, Edite M. G. P. Fernandes
    Pages 157-186
  7. Differential Evolution

    • Kenneth V. Price
    Pages 187-214
  8. Evolutionary Dynamics as The Structure of Complex Networks

    • Ivan Zelinka, Donald David Davendra, Mohammed Chadli, Roman Senkerik, Tran Trong Dao, Lenka Skanderova
    Pages 215-243
  9. Multicriterial Projects Selection

    • Jindřich Klapka, Petr Piňos, Vítězslav Ševčík
    Pages 245-261
  10. Symbolic Regression of Boolean Functions by Genetic Programming

    • Jiří Pospíchal, Ľubomír Varga, Vladimír Kvasnička
    Pages 263-286
  11. Compact Optimization

    • Ferrante Neri, Giovanni Iacca, Ernesto Mininno
    Pages 337-364
  12. Modularity in Genetic Programming

    • Martin Dostál
    Pages 365-393
  13. Theory and Applications of Hybrid Simulated Annealing

    • Jong-Seok Lee, Cheol Hoon Park, Touradj Ebrahimi
    Pages 395-422
  14. Adaptive Variants of Differential Evolution: Towards Control-Parameter-Free Optimizers

    • Josef Tvrdík, Radka Poláková, Jiří Veselský, Petr Bujok
    Pages 423-449
  15. Takagi-Sugeno Fuzzy Representation to Modelling and State Estimation

    • Mohammed Chadli, Thierry-Marie Guerra, Ivan Zelinka
    Pages 451-479
  16. Evolutionary Algorithms Based on Game Theory and Cellular Automata with Coalitions

    • Bernabé Dorronsoro, Juan C. Burguillo, Ana Peleteiro, Pascal Bouvry
    Pages 481-503

About this book

Optimization problems were and still are the focus of mathematics from antiquity to the present. Since the beginning of our civilization, the human race has had to confront numerous technological challenges, such as finding the optimal solution of various problems including control technologies, power sources construction, applications in economy, mechanical engineering and energy distribution amongst others. These examples encompass both ancient as well as modern technologies like the first electrical energy distribution network in USA etc. Some of the key principles formulated in the middle ages were done by Johannes Kepler (Problem of the wine barrels), Johan Bernoulli (brachystochrone problem), Leonhard Euler (Calculus of Variations), Lagrange (Principle multipliers), that were formulated primarily in the ancient world and are of a geometric nature. In the beginning of the modern era, works of L.V. Kantorovich and G.B. Dantzig (so-called linear programming) can be considered amongst others. This book discusses a wide spectrum of optimization methods from classical to modern, alike heuristics. Novel as well as classical techniques is also discussed in this book, including its mutual intersection. Together with many interesting chapters, a reader will also encounter various methods used for proposed optimization approaches, such as game theory and evolutionary algorithms or modelling of evolutionary algorithm dynamics like complex networks.

 

Reviews

From the reviews:

“In more than 1,000 pages, the editors of this book have gathered over 40 contributions representing a variety of optimization flavors. … written as tutorials or transactional papers for scientists working in the area. … I do believe this book will be useful to experts in optimization who are seeking inspiration, and lecturers searching for examples for graduate or PhD courses.” (Piotr Cholda, Computing Reviews, July, 2013)

Editors and Affiliations

  • Technical University of Ostrava, Ostrava-Porub, Czech Republic

    Ivan Zelinka

  • , Faculty of Electrical Engineering and, Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

  • Auburn, USA

    Ajith Abraham

Bibliographic Information

  • Book Title: Handbook of Optimization

  • Book Subtitle: From Classical to Modern Approach

  • Editors: Ivan Zelinka, Václav Snášel, Ajith Abraham

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-642-30504-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Hardcover ISBN: 978-3-642-30503-0Published: 14 August 2012

  • Softcover ISBN: 978-3-662-50680-6Published: 23 August 2016

  • eBook ISBN: 978-3-642-30504-7Published: 26 September 2012

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XII, 1100

  • Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access