An introduction to the concepts of constraints, objectives, and feasibility in Grading Optimization.
Grading Optimization helps design complex grading plans. You can interactively model different grading requirements with the help of grading objects. Use grading objects to create drain patterns and to set slope, offset, and elevation constraints.
Grading Optimization then translates grading objects into mathematical constraints and objectives. With the help of mathematical optimization algorithms, the best possible solution for the given model is calculated. You can visually analyze the result, adjust, or completely change the grading objects, and then rerun the optimization again until a suitable solution is found.