The advanced scenario settings offer users control over optimization, impacting solve times and solution quality.

Using these settings, you can 

• Switch to an alternative solver. 
• Define the maximum time to search for an optimal solution. 
• Stop optimization within defined optimality tolerance.

These settings demand careful consideration. Adjustments will directly affect solution feasibility, solver time, and optimality. Only modify these parameters with a clear understanding of their implications.

Solver

The primary solver will provide the best performance for most optimization problems. However, different solvers are more adept at handling specific types of problems. In exceptional cases where the primary solver cannot find a solution, the alternative option might help. 

Please consider that different solvers may have varying performance characteristics and may better accommodate certain types of constraints leading to quicker solution times.

Time limit

The time limit setting allows you to set the maximum time to search for an optimal solution. At the time limit, we return the best solution found, if any.

You may need prompt feedback on potential awarding solutions in interactive decision-making processes. A time limit will allow for quicker identification of feasible solutions. However, by imposing a time limit, the solver may not have sufficient time to explore all potential solutions. This could lead to suboptimal or incomplete solutions, sacrificing solution quality for faster calculation.

Optimality tolerance

The optimality tolerance sets the acceptable level of deviation from the optimal solution. Setting the optimality tolerance allows the evaluation to stop early if a solution is found within an acceptable tolerance to optimality. 

Setting a tighter optimality tolerance (lower tolerance) leads to more accurate solutions closer to the optimal solution, but requires more time to compute. Conversely, a looser optimality tolerance (higher tolerance) allows faster solving time but may result in a solution that is further from the optimum.

Incomplete coverage

Incomplete coverage may be necessary in a scenario where an additional rule or configuration prevents the awarding of as many lots as possible. By enabling the Incomplete coverage feature in the scenario rules, Keelvar can award a scenario that may result in some lots not being fully awarded or not awarded at all.

Scenario status indication 

Icon	Name	Tool Tip
	Not Evaluated	Evaluate this scenario to view results
	Evaluating	Calculating results…
	Optimal	We have proven that this is the best solution for this scenario
	Feasible	This solution satisfies all scenario rules, but we could not prove that it was the best possible solution
	Infeasible	No solution exists that satisfies all scenario rules
	Time Out	The solver took too long to find a solution
	Unexpected Error	An unexpected error occurred while calculating results. For more information, contact Keelvar support