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Guided by a novel timing intensity metric, our mixed-criticality scheduling framework creates an optimized schedule that minimizes overall miss penalty for a time-varying energy budget.
The MS-OPF model proposed herein aims at finding an optimized schedule for thermal power plants and gas-fired generators under gas-load uncertainties.
Afterwards the cost function is used in conjunction with a genetic algorithm to find an optimized schedule that maximizes its robustness.
An optimized schedule of having a 15 min break after working 120 min continuously in the morning (WBGT = 28.9 ± 1.3 °C), and having a 20 min break after working 115 min continuously in the afternoon (WBGT = 32.1 ± 2.1 °C) is proposed.
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Here, the condition based preventive maintenance aims at strengthening the rail mode of transport through an optimized scheduling of maintenance actions taking account of the actual infrastructure condition and its expected further degradation.
An optimized scheduling for all types of transportation tasks occurring in a hospital accelerates medical procedures, and reduces the patient's waiting time and costs.
Strong uncertainties is a key challenge for the application of scheduling algorithms in real-world production environments, since the optimized schedule at a time often turns to be deteriorated or even infeasible during its execution due to a large majority of unexpected events.
We also design the utility function with the model and apply a genetic algorithm to find the optimized schedule.
Geostatistical simulations provide the means to assess quality variability using an optimized mining schedule.
In addition, an optimized decoding schedule scheme is presented to reduce the performance loss caused by high parallelism.
To operate the LNT with high conversion efficiency, an optimized regeneration schedule is required, together with closed-loop control of the air/fuel ratio during regeneration.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com