Multiple objective programming method

Table VII shows some hypothetical "desired" sensory profiles for these experiments, as well as the expected sensory profile one could empirically obtain, along with the combination of odorants which come as close as possible to generating that desired profile (as obtained from the multiple objective programming method). To generate these specific profiles, one often must use intermediate levels of each odorant not...

By reversing the regression procedure, using the method of multiple objective programming, one can ascertain the specific concentrations of mixture components which come as close as possible to reproducing a desired sensory profile. Of course, in order to get meaningful data, the investigator must make sure that ... 

Roy, B., "Problems and Methods with Multiple Objective Functions" Mathematical Programming 1971, 1, 50. 

Roy, B. (1971). Problems and methods with multiple objectives functions. Mathematical Programming, 1, 239-266. 

Develop modular, portable, and extensible programming methods, including object-oriented component architectures for portable modeling (i.e., software that can be reused in multiple applications). 

The With statement relieves the programmer of the need to repeat a common object hierarchy in order to specify multiple methods and/or properties of the same object, and (because the computer does not have to search more than once for the common object either) speeds up program execution as well. The syntax is... 

Problem Type Multiple Unear/nonlinear objective functions with Unear/nonlinear constraints Method Sequential quadratic programming... 

Multiple sourcing models Multiple sourcing can offset the risk of supply disruption. In multiple sourcing, a buyer purchases the same item from more than one supplier. Mathematical progranuning is the most appropriate method for multiple sourcing decisions. Two types of mathematical programming models are found in the literature, single objective and multiobjective models. 

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