| 書目名稱 | Multiobjective Optimization: Behavioral and Computational Considerations | | 編輯 | Jeffrey L. Ringuest | | 視頻video | http://file.papertrans.cn/641/640841/640841.mp4 | | 圖書封面 |  | | 描述 | Throughout the development of mathematical programming researchers have paid great attention to problems that are described by a single objective that can only be achieved subject to satisfying a set of restrictions or constraints. Recently, it has been recognized that the use of a single objective limits the applicability of In reality, many multiobjective mathematical programming models. situations exist and frequently these mUltiple objectives are in direct conflict. Research on multiobjective problems can be broken down into two broad categories: multiobjective optimization and multicriterion decision theory. Multiobjective optimization models are based on techniques such as linear programming. In general, the multiobjective optimization problem can be defined as finding a feasible alternative that yields the most preferred set of values for the objective functions. This problem differs from a single objective because subjective methods are required to determine which alternative is most preferred. A body of literature parallel to that m multiobjective optimization has been developing in the area of multicriterion decision theory. These models are based on classical decision an | | 出版日期 | Book 1992 | | 關(guān)鍵詞 | decision support; decision support system; decision theory; mathematical programming; multi-objective op | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-3612-3 | | isbn_softcover | 978-1-4613-6605-8 | | isbn_ebook | 978-1-4615-3612-3 | | copyright | Springer Science+Business Media New York 1992 |
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