Theory and Practice of Uncertain Programming

ISBN-13: 9783642100437 / Angielski / Miękka / 2010 / 202 str.

Springer

Opis

This book provides comprehensive coverage of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, vehicle routing problem, and machine scheduling problem.

Spis treści

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.

Blurb

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.