Theory and practice of uncertain programming

Baoding Liu (auth.)9783540894834, 3540894837

Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

Table of contents :
Front Matter….Pages –
Mathematical Programming….Pages 1-8
Genetic Algorithms….Pages 9-17
Neural Networks….Pages 19-24
Stochastic Programming….Pages 25-56
Fuzzy Programming….Pages 57-82
Hybrid Programming….Pages 83-110
Uncertain Programming….Pages 111-128
System Reliability Design….Pages 129-137
Project Scheduling Problem….Pages 139-146
Vehicle Routing Problem….Pages 147-155
Facility Location Problem….Pages 157-165
Machine Scheduling Problem….Pages 167-177
Back Matter….Pages –