Theory and Practice of Uncertain Programming / Edition 2

by Baoding Liu

Overview

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.

Product Details

ISBN-13:	9783540894834
Publisher:	Springer Berlin Heidelberg
Publication date:	03/17/2009
Series:	Studies in Fuzziness and Soft Computing , #239
Edition description:	2nd ed. 2009
Pages:	202
Product dimensions:	6.30(w) x 9.40(h) x 0.60(d)

Table of Contents

Mathematical Programming.- Genetic Algorithms.- Neural Networks.- Shastic Programming.- Fuzzy Programming.- Hybrid Programming.- Uncertain Programming.- System Reliability Design.- Project Scheduling Problem.- Vehicle Routing Problem.- Facility Location Problem.- Machine Scheduling Problem.