Overview

Real-life decisions are usually made in the state of uncertainty (randomness, fuzziness, roughness, etc. ). 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. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem, inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

Full Product Details

Author:   B. Liu
Publisher:   Physica-Verlag GmbH & Co
Imprint:   Physica-Verlag GmbH & Co
Edition:   illustrated edition
Volume:   v. 102
Dimensions:   Width: 15.60cm , Height: 2.30cm , Length: 23.40cm
Weight:   0.748kg
ISBN:  

9783790814903

ISBN 10:   3790814903
Pages:   408
Publication Date:   01 June 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Temporarily unavailable  
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

Table of Contents

Fundamentals: Mathematical Programming; Genetic Algorithms; Neural Networks.- Stochastic Programming: Random Variables; Stochastic Expected Value Models; Stochastic Chance-Constrained Programming; Stochastic Dependent-Chance Programming.- Fuzzy Programming: Fuzzy Variables; Fuzzy Expected Value Models; Fuzzy Chance-Constrained Programming; Fuzzy Dependent-Chance Programming; Fuzzy Programming with Fuzzy Decisions.- Rough Programming: Rough Variables; Rough Programming.- Fuzzy Random Programming: Fuzzy Random Variables; Fuzzy Random Expected Value Models; Fuzzy Random Chance-Constrained Programming; Fuzzy Random Dependent-Chance Programming.- Random Fuzzy Programming: Random Fuzzy Variables; Random Fuzzy Expected Value Models; Random Fuzzy Chance-Constrained Programming; Random Fuzzy Dependent-Chance Programming.- Generel Principle: Multifold Uncertainty; Uncertain Programming.

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