The simulation results of PD-MW-PCC show a near-optimal performance compared to the MW-PCC, where the gap to the optimal performance obviously depends on the choice of α.
The performance of the proposed scheme is evaluated by simulation which demonstrates that the proposed policies in the POMDP framework reduce the times of channel switch significantly, and the rollout-based scheme achieves a near-optimal performance compared to the optimal scheme.
It can be found that the low cycle fatigue performance of the SSPD was significantly improved and the global optimal solution showed better performance compared to the local optimal solution.
In addition, the auxetic cellular structure exhibits optimal overall energy absorption performance compared to both the octet-truss and the BCC lattice.
It will be seen that the obtained results by this concurrent optimization procedure have much better dynamic performance compared to the optimal results of the simple shape or material composition design.
In this paper, we utilize low-complexity heuristic algorithms to obtain approximately optimal results that do not have much loss of performance compared to the optimal one.
The de novo design of 180° universal rotation pulses (180°UR) using optimal control can provide improved performance compared to schemes which construct refocusing pulses as composites of existing pulses.
Other studies of the Multiple Travelling Salesmen Problem [ 14 ], and variants of the HHCP [ 13 ] in particular, have used algorithms based on the classic Clarke-Wright heuristics [ 15 ] to deliver speed and flexibility with only a small reduction in performance compared to optimal solutions [ 16 ].
Therefore, we expect the mGLRT to have a better performance compared to the optimal independent test when the observations are significantly correlated.
The multi-objective optimal control resulted in an increase in the volume-weighted mean size by 120.8μm compared to the seeds and 51% of theoretical yield, which showed better performance compared to other optimal control policies.
On the other hand, the figure shows us also that the optimal pairing strategy has the best performance compared to the matched pairing strategy studied in the previous chapter or any random pairing scheme.
