Intelligent Techniques in Engineering Management - Theory and Applications (Hardcover, 2015 ed.)


This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.

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Product Description

This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Intelligent Systems Reference Library, 87

Release date

May 2015

Availability

Expected to ship within 12 - 17 working days

First published

2015

Editors

,

Dimensions

235 x 155 x 41mm (L x W x T)

Format

Hardcover

Pages

747

Edition

2015 ed.

ISBN-13

978-3-319-17905-6

Barcode

9783319179056

Categories

LSN

3-319-17905-5



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