Advertisement

Handbook of Optimization

From Classical to Modern Approach

  • Ivan Zelinka
  • Václav Snášel
  • Ajith Abraham

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

Table of contents

  1. Front Matter
    Pages 1-10
  2. L. P. Garcés, L. A. Gallego, R. Romero
    Pages 29-50
  3. Catherine Cabuzel, Alain Pietrus
    Pages 51-72
  4. L. Bayón, J. M. Grau, M. M. Ruiz, P. M. Suárez
    Pages 97-127
  5. Janusz Kusyk, Cem Safak Sahin, Jianmin Zou, Stephen Gundry, M. Umit Uyar, Elkin Urrea
    Pages 129-155
  6. A. I. Pereira, O. Ferreira, S. P. Pinho, Edite M. G. P. Fernandes
    Pages 157-186
  7. Kenneth V. Price
    Pages 187-214
  8. Ivan Zelinka, Donald David Davendra, Mohammed Chadli, Roman Senkerik, Tran Trong Dao, Lenka Skanderova
    Pages 215-243
  9. Jindřich Klapka, Petr Piňos, Vítězslav Ševčík
    Pages 245-261
  10. Jiří Pospíchal, Ľubomír Varga, Vladimír Kvasnička
    Pages 263-286
  11. Ferrante Neri, Giovanni Iacca, Ernesto Mininno
    Pages 337-364
  12. Martin Dostál
    Pages 365-393
  13. Jong-Seok Lee, Cheol Hoon Park, Touradj Ebrahimi
    Pages 395-422
  14. Josef Tvrdík, Radka Poláková, Jiří Veselský, Petr Bujok
    Pages 423-449
  15. Mohammed Chadli, Thierry-Marie Guerra, Ivan Zelinka
    Pages 451-479
  16. Bernabé Dorronsoro, Juan C. Burguillo, Ana Peleteiro, Pascal Bouvry
    Pages 481-503
  17. Philippe Galinier, Jean-Philippe Hamiez, Jin-Kao Hao, Daniel Porumbel
    Pages 505-528
  18. Hisham M. Abdelsalam, Magy Magdy, AbdoulRahman M. AlShaar
    Pages 553-573
  19. Frederico Gadelha Guimarães, Rodrigo César Pedrosa Silva, Ricardo Sérgio Prado, Oriane Magela Neto, Donald David Davendra
    Pages 597-614
  20. Isabel A. C. P. Espírito Santo, Lino Costa, Ana Maria A. C. Rocha, M. A. K. Azad, Edite M. G. P. Fernandes
    Pages 641-671
  21. Jorge E. Núñez Mc Leod, Selva Soledad Rivera
    Pages 673-696
  22. Roman Senkerik, Zuzana Oplatkova, Ivan Zelinka, Donald David Davendra, Roman Jasek
    Pages 801-820
  23. Zuzana Oplatkova, Jiri Holoska, Michal Prochazka, Roman Senkerik, Roman Jasek
    Pages 821-843
  24. Pavel Ošmera, Miloš Šeda, Roman Weisser
    Pages 869-887
  25. Donald David Davendra, Ivan Zelinka, Godfrey Onwubolu
    Pages 889-906
  26. Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Pérez, Raúl Rojas
    Pages 907-934
  27. Martin Dostál
    Pages 935-964
  28. Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco Pérez
    Pages 965-990
  29. Radha Thangaraj, Thanga Raj Chelliah, Millie Pant, Ajith Abraham, Pascal Bouvry
    Pages 991-1024
  30. I. Elamvazuthi, P. Vasant, T. Ganesan
    Pages 1025-1046
  31. Pavel Ošmera
    Pages 1073-1097
  32. Back Matter
    Pages 0--1

About this book

Introduction

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.

 

Keywords

Heuristic Methods Intelligent Systems Optimization

Editors and affiliations

  • Ivan Zelinka
    • 1
  • Václav Snášel
    • 2
  • Ajith Abraham
    • 3
  1. 1.Technical University of OstravaOstrava-PorubCzech Republic
  2. 2., Faculty of Electrical Engineering andTechnical University of OstravaOstrava-PorubaCzech Republic
  3. 3.AuburnUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-30504-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-30503-0
  • Online ISBN 978-3-642-30504-7
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site