Optimization for Industrial Problems

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Springer Science & Business Media, Jan 5, 2012 - Mathematics - 246 pages
Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields in interdependence as a conversation between theoretical aspects of mathematics and computer science and the mathematical field of optimization theory at a practical level. The 19 case studies that were conducted by the author in real enterprises in cooperation and co-authorship with some of the leading industrial enterprises, including RWE, Vattenfall, EDF, PetroChina, Vestolit, Sasol, and Hella, illustrate the results that may be reasonably expected from an optimization project in a commercial enterprise. The book is aimed at persons working in industrial facilities as managers or engineers; it is also suitable for university students and their professors as an illustration of how the academic material may be used in real life. It will not make its reader a mathematician but it will help its reader in improving his plant.
 

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Contents

Chapter 1 Overview of Heuristic Optimization
1
Chapter 2 Statistical Analysis in Solution Space
13
Chapter 3 Project Management
29
Cleaning up Data
37
Knowledge from Data
67
Neural Networks
121
Simulated Annealing
165
Chapter 8 The human aspect in sustainable change and innovation
201
Index
243
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About the author (2012)

Dr. Patrick Bangert, algorithmica technologies GmbH, Bremen, Germany

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