Handbook of Optimization
From Classical to Modern Approach
Editors: Zelinka, Ivan, Snasel, Vaclav, Abraham, Ajith (Eds.)
Free Preview- 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
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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
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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)
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Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review
Pages 1-28
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Bounded Dual Simplex Algorithm: Definition and Structure
Pages 29-50
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Some Results on Subanalytic Variational Inclusions
Pages 51-72
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Graph and Geometric Algorithms and Efficient Data Structures
Pages 73-95
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An Exact Algorithm for the Continuous Quadratic Knapsack Problem via Infimal Convolution
Pages 97-127
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Table of contents (42 chapters)
Bibliographic Information
- Bibliographic Information
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- Book Title
- Handbook of Optimization
- Book Subtitle
- From Classical to Modern Approach
- Editors
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- Ivan Zelinka
- Vaclav Snasel
- Ajith Abraham
- Series Title
- Intelligent Systems Reference Library
- Series Volume
- 38
- Copyright
- 2013
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- 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
