Rockwell Automation Arena OptQuest Users Guide - Manual (Page 40)

A RENA O PT Q UEST U SER ’ S G UIDE
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examining the grids for each of the nodes. Errors will be displayed as red or yellow cells
in the grid.
Start and Stop commands
The commands for starting and stopping the optimization process are found under the
Run menu. You may also access these commands by clicking on the appropriate icons in
the toolbar:
Optimization window
Upon starting the optimization, a new Optimization node is added to the tree, and the
progress of the optimization is displayed in the right-hand pane.
The optimization window is divided into two parts. The top displays grids for the objective
function, the current solution, and constraints.
Start Starts a new optimization. This is unavailable when an optimization is already
running.
Stop Stops the current optimization. This is available whenever an optimization is
running. When you stop an optimization, you cannot resume that optimization.
While an optimization is running, you can’t work in Arena or make changes in OptQuest, but you
can work in other programs. Do not close OptQuest while you are running an optimization.
Objective grid This grid shows the best value and the current value for the objective.
The grid title indicates whether the goal is to Maximize or Minimize.
The Best Value row displays the best objective value found to date. The
Current Value row shows the value for the last solution tested. The
Status column indicates whether the solution satisfied all the constraints
or violated one or more constraints.
Controls grid This grid displays the values for each control. The Best Value column
shows the values for the best solution found so far. The Current Value
column shows the solution that was last evaluated.
Constraints grid When constraints are defined, this grid will display. All values in this
grid pertain to the best solution. The Type column indicates whether this
is a linear or non-linear constraint. The Status column indicates whether
the best solution was constraint-feasible or constraint-infeasible.