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
Optimization for Industrial Problems
โ Scribed by Patrick Bangert (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2012
- Tongue
- English
- Leaves
- 269
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter....Pages i-xxii
Overview of Heuristic Optimization....Pages 1-11
Statistical Analysis in Solution Space....Pages 13-27
Project Management....Pages 29-36
Pre-processing: Cleaning up Data....Pages 37-66
Data Mining: Knowledge from Data....Pages 67-119
Modeling: Neural Networks....Pages 121-164
Optimization: Simulated Annealing....Pages 165-200
The human aspect in sustainable change and innovation....Pages 201-241
Back Matter....Pages 243-246
โฆ Subjects
Optimization; Operations Research, Management Science
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