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Titlebook: Multiobjective Linear Programming; An Introduction Dinh The Luc Textbook 2016 Springer International Publishing Switzerland 2016 Convex pol

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书目名称Multiobjective Linear Programming
副标题An Introduction
编辑Dinh The Luc
视频video
概述Provides an accessible introduction to the field of multiobjective optimization.Begins with an elementary and concise review of the mathematical backgrounds.Presents basic notions and advanced develop
图书封面Titlebook: Multiobjective Linear Programming; An Introduction Dinh The Luc Textbook 2016 Springer International Publishing Switzerland 2016 Convex pol
描述This book introduces the reader to the field of multiobjective optimization through problems with simple structures, namely those in which the objective function and constraints are linear. Fundamental notions as well as state-of-the-art advances are presented in a comprehensive way and illustrated with the help of numerous examples. Three of the most popular methods for solving multiobjective linear problems are explained, and exercises are provided at the end of each chapter, helping students to grasp and apply key concepts and methods to more complex problems. The book was motivated by the fact that the majority of the practical problems we encounter in management science, engineering or operations research involve conflicting criteria and therefore it is more convenient to formulate them as multicriteria optimization models, the solution concepts and methods of which cannot be treated using traditional mathematical programming approaches.
出版日期Textbook 2016
关键词Convex polyhedra; Duality and stability; Linear programming; Multi-criteria decision making; Multiobject
版次1
doihttps://doi.org/10.1007/978-3-319-21091-9
isbn_softcover978-3-319-36977-8
isbn_ebook978-3-319-21091-9
copyrightSpringer International Publishing Switzerland 2016
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eering or operations research involve conflicting criteria and therefore it is more convenient to formulate them as multicriteria optimization models, the solution concepts and methods of which cannot be treated using traditional mathematical programming approaches.978-3-319-36977-8978-3-319-21091-9
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