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The two optimization objectives for scheduling schemes are the indices of the optimality and robustness of the scheduling results.
After optimization, the four optimization objectives are all improved.
Various trade-offs between different optimization objectives are systematically revealed.
Sixteen metrics were selected as optimization objectives, which could represent the major characteristics of flow regimes.
The optimization objectives are to minimize the equivalent fuel consumption while prolonging the driving range.
The placement results by our placer subject to different optimization objectives are presented.
Then, components of the system and optimization objectives have been modelled.
Then, two optimization objectives are addressed by considering wireless media contention and spatial multiplexing.
The maximum vibration amplitude and the minimum electrical input power are considered as optimization objectives.
Most conventional scheduling problems use production efficiency, cost and quality as their preeminent optimization objectives.
In each of the modules we have defined a specific set of parameters and optimization objectives.
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