G2TT
来源类型Monograph (IIASA Working Paper)
规范类型论文
Modular Optimizer for Mixed Integer Programming MOMIP Version 1.1.
Ogryczak W; Zorychta K
发表日期1993
出版者IIASA, Laxenburg, Austria: WP-93-055
出版年1993
语种英语
摘要This Working Paper documents the Modular Optimizer for Mixed Integer Programming (MOMIP). MOMIP is an optimization solver for middle-size mixed integer programming problems, based on a modified branch-and-bound algorithm. It is designed as part of a wider linear programming modular library being developed within the IIASA CSA project on "Methodology and Techniques of Decision Analysis". The library is a collection of independent modules, implemented as C++ classes, providing all the necessary functions of data input, data transfer, problem solution, and results output. The Input/Output module provides data structure to store a problem and its solution in a standardized form as well as standard input and output functions. All the solver modules take the problem data from the Input/Output module and return the solutions to this module. Thus, for straightforward use, one can configure a simple optimization system using only the Input/Output module and an appropriate solver module. More complex analysis may require use of more than one solver module. Moreover, for complex analysis of real-life problems, it may be more convenient to incorporate the library modules into an application program. This will allow the user to proceed with direct feeding of the problem data generated in the program and direct withdrawal results for further analysis.
主题Methodology of Decision Analysis (MDA)
URLhttp://pure.iiasa.ac.at/id/eprint/3759/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/124121
推荐引用方式
GB/T 7714
Ogryczak W,Zorychta K. Modular Optimizer for Mixed Integer Programming MOMIP Version 1.1.. 1993.
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