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More particularly, three probability-based optimization methods have been proposed to optimize the mutual coherence of measurement matrix called Sequential Cross-Entropy (SCE), Extended Estimating of Distribution Algorithm (EEDA), and Parallel Cross-Entropy (PCE).
New system architectures have been proposed to optimize performance.
Recently, analytical methods have been proposed to optimize the architectures faster and easier.
Following the spout fluidized bed development, several geometrical modifications have been proposed to optimize the bed performance.
Since the development of the spout fluidized bed, several geometrical modifications have been proposed to optimize the bed performance.
An improved version of fractal branch and bound method has been proposed to optimize multiple stacking sequences.
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To further improve the control performance, an improved ant colony optimization (ACO) is proposed to optimize the controller parameters.
Finally, an optimization strategy was proposed to optimize the manifold geometries to obtain a comparatively even flow distribution among microchannels.
A multiple objective optimization model is proposed to optimize inspection security, inspection cost, and processing time; an evolutionary approach is used to solve the model.
An optimization procedure is proposed to optimize the manifold geometries and dimensional variations to obtain comparatively ideal flow distribution between microchannels.
Thirdly, based on the thermal hydraulic restrictions of the degassing process of the SMR pressurizer, a degassing time optimization scheme is proposed to optimize the pressurizer degassing time.
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