Theory and Practice of Uncertain Programming
By: by Baoding Liu
Series: Studies in Fuzziness and Soft Computing -- 102; Studies in Fuzziness and Soft Computing -- 102
Publisher: Physica-Verlag HD; Imprint: Physica
Published: 2002
Place of publication: Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 388
ISBN-13: 9783662131961; 9783790817812
Subjects: Artificial intelligence; Computer simulation; Computer science; Operations research
Description: 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.
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Table of contents: title: Fundamentals: Mathematical Programming; Genetic Algorithms; Neural Networks; title: Stochastic Programming: Random Variables; Stochastic Expected Value Models; Stochastic Chance-Constrained Programming; Stochastic Dependent-Chance Programming; title: Fuzzy Programming: Fuzzy Variables; Fuzzy Expected Value Models; Fuzzy Chance-Constrained Programming; Fuzzy Dependent-Chance Programming; Fuzzy Programming with Fuzzy Decisions; title: Rough Programming: Rough Variables; Rough Programming; title: Fuzzy Random Programming: Fuzzy Random Variables; Fuzzy Random Expected Value Models; Fuzzy Random Chance-Constrained Programming; Fuzzy Random Dependent-Chance Programming; title: Random Fuzzy Programming: Random Fuzzy Variables; Random Fuzzy Expected Value Models; Random Fuzzy Chance-Constrained Programming; Random Fuzzy Dependent-Chance Programming; title: Generel Principle: Multifold Uncertainty; Uncertain Programming.