Operations Research in Transportation Systems Ideas and Schemes of Optimization Methods for Strategic Planning and Operations Management

The scientific monograph of a survey kind presented to the reader's attention deals with fundamental ideas and basic schemes of optimization methods that can be effectively used for solving strategic planning and operations manage­ ment problems related, in particular, to transportation. This m...

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Bibliographic Details
Main Author: Belenky, A.S.
Format: eBook
Language:English
Published: New York, NY Springer US 1998, 1998
Edition:1st ed. 1998
Series:Applied Optimization
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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505 0 |a 1 Mathematical Programming -- 2 Discrete Optimization -- 3 Transportation-Oriented Optimization -- 4 Optimization under Uncertainty -- 5 Optimal Control -- 6 Optimization in Special Methods of Strategic Planning and Operations Management in Transportation systems -- 7 Mathematical Concepts and Notation Used for Formulating and Solving Optimization Problems of Strategic Planning and Operations Management in Transportation systems -- Conclusion 
653 |a Optimization 
653 |a Calculus of Variations and Optimization 
653 |a Game Theory 
653 |a Control theory 
653 |a Systems Theory, Control 
653 |a Game theory 
653 |a System theory 
653 |a Mathematical optimization 
653 |a Calculus of variations 
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520 |a The scientific monograph of a survey kind presented to the reader's attention deals with fundamental ideas and basic schemes of optimization methods that can be effectively used for solving strategic planning and operations manage­ ment problems related, in particular, to transportation. This monograph is an English translation of a considerable part of the author's book with a similar title that was published in Russian in 1992. The material of the monograph embraces methods of linear and nonlinear programming; nonsmooth and nonconvex optimization; integer programming, solving problems on graphs, and solving problems with mixed variables; rout­ ing, scheduling, solving network flow problems, and solving the transportation problem; stochastic programming, multicriteria optimization, game theory, and optimization on fuzzy sets and under fuzzy goals; optimal control of systems described by ordinary differential equations, partial differential equations, gen­ eralized differential equations (differential inclusions), and functional equations with a variable that can assume only discrete values; and some other methods that are based on or adjoin to the listed ones