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Regardless of the degree of pump performance optimization, the availability of any pump depends on the quality of its mechanical design and manufacture.
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Ying-Shen et al. ([2008]) proposed a genetic algorithm-based optimization model to optimize the availability for a series parallel system.
Then, in a design optimization problem, the availability and capacity for the components of such systems are optimized by genetic algorithm.
Bi-objective optimization of the availability allocation problem in a series parallel system with repairable components is aimed in this paper.
Recent developments in global optimization and the availability of very fast computers have stimulated the research on the direct minimization approach.
This has led to a renewed optimization of the availability, using a simple model of the degradation of the first mirror that starts with the conditions of (a) the required measurement performance and (b) the geometry of the port plug.
The initial availability of RXC system was 92.93%, while after optimization the expected availability was 95.23% over 11,520 h (approx. 16 months) which corresponds to ITER typical operation cycle.
The initial availability of upper divertor cooling water system was 93.63%, after optimization the expected availability was 98.56% over 11,520 h.
Summarizing, to the best of our knowledge, all previous optimization models ignore the availability of information about the number of tags within the range of each reader.
The key to the performance of the battery optimization system is the availability of suitable forecasts of the power system load net of solar generation.
In this case, optimization algorithms demand the availability of a heat exchanger network model in order to predict the network behavior.
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