Objective |
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The Objective Node is used to define the objective function to be maximized.
Grid ViewsThe objective function can be a weighted linear combination of several reactor performance characteristics. By setting appropriate weighting factors for the variables available in this node, you will be able to maximize (or minimize) a weighted combination of Yields, Selectivities, Conversions, Compounds Moles or Mass, PseudoCompounds, Derived Quantities and Basic Variables. Actions Grid Views Objective Function Weights
Objective Function Weights
Top of Topic This view contains the list of variables you may use to build the objective function, whose formula is shown in a Preview Pane. The variables are displayed in the following categories:
where: wY,c are the weights for Yc (Yield of compound or conserved pseudocompound c) wS,c are the weights for Sc (Selectivity of compound or conserved pseudocompound c) wC,c are the weights for Cc (Conversion of compound or conserved pseudocompound c) wTM,c are the weights for TMc (Total Moles or Mass of compound or conserved pseudocompound c) wVal,c are the weights for Valc (Values of derived quantity or non-conserved pseudocompound c) wVal,s are the weights for Vals (Values of Basic Variables s) You may maximize Yields, Selectivities, Total Moles or Mass, values of a given variable and Basic Variables by loading weights for them. Typically, you may use larger values for those variables that are more important. If a weight value is zero, that variable will not be taken into account in the optimization. A negative weight will have the effect of minimizing the corresponding variable. When only one variable has nonzero weight, the results will be independent of the weighting factor (except for Pressure Control cases). In pressure control reactors, the weights loaded in this node and the Optimization → Weights → Values node for pressure (used to tune the controller) should be balanced to get the desired objective. Actions Quick Run Open Solver Top of Topic See Also:
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