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Intelligent Systems Reference Library

Handbook of Optimization

From Classical to Modern Approach

Editors: Zelinka, Ivan, Snasel, Vaclav, Abraham, Ajith (Eds.)

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

Table of contents (42 chapters)

  • Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review

    Richter, Hendrik (et al.)

    Pages 1-28

  • Bounded Dual Simplex Algorithm: Definition and Structure

    Garcés, L. P. (et al.)

    Pages 29-50

  • Some Results on Subanalytic Variational Inclusions

    Cabuzel, Catherine (et al.)

    Pages 51-72

  • Graph and Geometric Algorithms and Efficient Data Structures

    Šeda, Miloš

    Pages 73-95

  • An Exact Algorithm for the Continuous Quadratic Knapsack Problem via Infimal Convolution

    Bayón, L. (et al.)

    Pages 97-127

Buy this book

eBook $269.00
price for USA (gross)
  • ISBN 978-3-642-30504-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $349.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-30503-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $349.00
price for USA
  • ISBN 978-3-662-50680-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Handbook of Optimization
Book Subtitle
From Classical to Modern Approach
Editors
  • Ivan Zelinka
  • Vaclav Snasel
  • Ajith Abraham
Series Title
Intelligent Systems Reference Library
Series Volume
38
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-642-30504-7
DOI
10.1007/978-3-642-30504-7
Hardcover ISBN
978-3-642-30503-0
Softcover ISBN
978-3-662-50680-6
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XII, 1100
Topics