This message appears when Solver is able to increase (if you are trying to Maximize) or decrease (for Minimize) without limit the value in the Objective cell, while still satisfying the constraints. Remember that, if you’ve selected Minimize, the objectiv ...
In the Solver Parameters dialog box, click Options. In the Solver Options dialog box, on the GRG Nonlinear tab, choose one or more of the following options: Convergence In the Convergence box, type the amount of relative change that you want to allow in t ...
This message appears if you’ve selected the Simplex LP Solving method, but Solver’s numeric tests to ensure that the objective and constraints are indeed linear functions of the decision variables were not satisfied. If you receive this message, select an ...
It is helpful to understand what the Evolutionary Solving method can and cannot do, and what each of the possible Solver Result Messages means for this method. At best, the Evolutionary method – like other genetic or evolutionary algorithms – will be abl ...
If you press ESC while Solver is solving, the Show Trial Solution dialog box appears. Do one of the following: Click Stop to stop the solution process. The Solver Results dialog appears with a message that Solver stopped at your request. Click Continue t ...
Solver’s basic purpose is to find a solution – that is, values for the decision variables in your model – that satisfies all of the constraints and maximizes or minimizes the objective cell value (if there is one). The kind of solution you can expect, an ...
These messages appear in the Solver Results dialog when the Solver stops running. The best solution values for the decision variables are placed in the adjustable (changing) cells, and the worksheet is recalculated. In the Solver Results dialog, you have ...
A model in which the objective function and all of the constraints (other than integer constraints) are smooth nonlinear functions of the decision variables is called a nonlinear programming (NLP) or non linear optimization problem. Such problems are int ...
A solution (set of values for the decision variables) for which all of the constraints in the Solver model are satisfied is called a feasible solution. In some problems, a feasible solution is already known; in others, finding a feasible solution may be ...
When a Solver model includes integer, binary or alldifferent constraints, it is called an integer programming problem. Integer constraints make a model non-convex, and finding the optimal solution to an integer programming problem is equivalent to solvin ...