Flexible and generalized uncertainty optimization : theory and methods
This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers u...
Saved in:
| Main Authors | , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Series | Studies in computational intelligence ;
v. 696. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319511078 9783319511054 |
| ISSN | 1860-949X ; |
| Physical Description | 1 online resource (x, 190 pages) : illustrations (some color) |
Cover
Table of Contents:
- 1 An Introduction to Generalized Uncertainty Optimization
- 2 Generalized Uncertainty Theory: A Language for Information Deficiency
- 3 The Construction of Flexible and Generalized Uncertainty Optimization Input Data
- 4 An Overview of Flexible and Generalized Uncertainty Optimization
- 5 Flexible Optimization
- 6 Generalized Uncertainty Optimization
- References.