Inserting and Setting Up Linear Optimization Blocks

A linear optimization block is used to solve a problem of optimal use of limited resources.

In the problem controlling variables are resources, and criterion function is an entity that is subject to optimization. Problem solution is finding such values of controlling variables that satisfy the specified constraints and at which criterion function takes the maximum or the minimum value. Conditions, for which the problem is created, may change. To take into account these conditions without creating a new problem, criterion function coefficients are used that enable the user to account for influence of conditions change on criterion function calculation.

To create a new linear optimization block:

In the object navigator click the Create button in the main menu and select the object type on the New Object side panel.
In the Calculation Algorithms extension execute one of the operations:

Select the Linear Optimization Block item in the drop-down menu of the Add Block button on the toolbar.
Select the Create > Linear Optimization Block item in the working area's context menu.

To edit a ready linear optimization block:

In the object navigator select the block and execute one of the operations:

Select the Edit item in the block's context menu.
Select the Edit in a New Tab item in the block's context menu.
Select the Edit in a New Window item in the block's context menu.
Press F4.

In the Calculation Algorithms extension select the Edit item in the block's context menu located in the calculation tree or in the working area.

To view criterion function:

Click the Show Function External View button in the linear optimization editing block wizard. The button is available starting from the Criterion Function page
Select the Criterion Function item in the linear optimization block's context menu.

The Criterion Function Appearance dialog box opens.

Creating and editing is executed in the linear optimization block editing wizard, in which block parameters can be set up.

The LPSolve solver is used to calculate linear optimization block. Before using the block execute integration with LPSolve.