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Multistat requires much fewer evaluations to determine each Pareto Optimal point - frequently as few as 3-5 evaluations per Pareto Optimal point.
Multistat works effectively with large-scale tasks with 1000-2000 design variables.
Multistat can find Pareto Optimal points within a specified tolerance of the Pareto surface, and can also generate a series of Pareto Optimal points to improve a single criteria.