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Hybrid optimization finds globally optimal trajectories for formation reconfigurations, including formation resizing, reassignment and reorientation maneuvers.
Obtaining globally optimal solutions for optimization problems involve with DoCF is difficult and NP-hard [28].
The problem of finding globally optimal constrained stable periodic control processes (globally optimal cycles) arising from the optimization of some chemical, biotechnological, and flight processes is considered.
Often, it is not practical to identify the globally optimal value of x.
The solutions found are globally optimal.
The iterations will ultimately converge to the globally optimal solution.
The suggested approach is not provably globally optimal.
Such designs are computationally feasible, but are not globally optimal.
A globally optimal Pareto curve is produced via the optimisation.
Unfortunately EM is not guaranteed to find a globally optimal model.
Recently many researchers have focused on characterizing globally optimal solutions of various special cases of (QCNP).
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