Performing the optimization procedure, a set of optimal solutions, called a Pareto front, is obtained.
The Pareto curve was obtained from the multiobjective optimization, allowing predicting the set of optimal solutions for the given problem.
The result of the optimization process is a set of optimal channel geometry values for the single-serpentine channel configuration.
This optimization led to a set of optimal drug regimens, which can be used in several chemotherapy treatments.
The set of optimal parameters is obtained by solving a multi-variable optimization problem.
Then, a multi-objective optimization is conducted and the Pareto frontier as a set of optimal solutions is presented.
It should be noted that multi-objective optimization problems do not have a unique solution, but a set of optimal solutions known as the Pareto front.
Because these goals and contexts are diverse, the set of optimal enforcement structures is heterogenous.
The Trulla all-paths planner computes an a priori set of optimal paths.
The program generates a set of optimal parameters called Pareto set corresponding to each Pareto front, which is a set of optimal results for the objective functions.
Meanwhile, it is effective for computer-assisted systems to decide a set of optimal plans.
