Achieving Perfection

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Achieving Perfection

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Once the set of optimal alternatives (the Pareto set) has been found, the final step is to select the best solution (or at most a very limited set of ideal candidates). The difficulties associated with this choice are obvious, as they are often subjective and cannot be quantified easily.

Classical methods to assist the user in this choice, such as goal programming and using the weighted combination of the objectives, are also of little help. In modeFRONTIER this problem is solved thanks to our Decision Making tool, which converts the user's intuitions (such as, design A is better than design B, and design C is better than design D) into an algorithm that extracts the best solution.

Verifying the sensitivity of this solution to parameters changes is then just a few key strokes and mouse clicks away. Finally, once the robustness of the solution has been so verified, perfection has been achieved.


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