Theory and Practice of Uncertain Programming [electronic resource] /
Liu, Baoding.author.
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.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
Mathematical Programming -- Genetic Algorithms -- Neural Networks -- Stochastic Programming -- Fuzzy Programming -- Hybrid Programming -- Uncertain Programming -- System Reliability Design -- Project Scheduling Problem -- Vehicle Routing Problem -- Facility Location Problem -- Machine Scheduling Problem.
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.
Applied mathematics.
Engineering mathematics.
Software engineering.
Mathematical optimization.
Operations research.
Management science.
Probabilities.
Mathematical and Computational Engineering.
Software Engineering.
Optimization.
Operations Research, Management Science.
Probability Theory and Stochastic Processes.
Studies in fuzziness and soft computing