Intelligent Systems Reference Library

From Classical to Modern Approach

By: Ivan Zelinka (Editor), Vaclav Snasael (Editor), Ajith Abraham (Editor)

Write A Review

Hardcover | 14 August 2012

At a Glance

Hardcover
1114 Pages

Dimensions(cm)
23.5 x 16.51 x 5.72

Hardcover

$329.00

or 4 interest-free payments of $82.25 with

Ships in 5 to 7 business days

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.

Industry 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)

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $89.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.