New Developments in Artificial Intelligence and the Semantic Web
نویسنده
چکیده
Mathematical optimization models are commonly implemented by specifying them in a high-level declarative modelling language. These languages allow specifying the overall model structure separately from the actual numerical values that are needed to form a specific instance of the model. The existing modelling languages are typically interpreted when the model is generated. In largescale linear and mixed integer programming the interpretation and generation time may be substantial compared to the time to solve the model. This paper presents MPLC++, which is an object-oriented mathematical modelling language based on C++ classes and objects. Because the model classes are standard C++, they can be compiled and executed efficiently when the model is generated. This approach is particularly suitable in embedded time-critical on-line applications of mathematical optimization models.
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تاریخ انتشار 2006