Equation-oriented(EO) steady-state process simulation using rigorous models of liquid-liquid or vapor-liquid-liquid separation,such as the extraction process,is hard to converge,owing to the highly nonlinear and coupl...
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Equation-oriented(EO) steady-state process simulation using rigorous models of liquid-liquid or vapor-liquid-liquid separation,such as the extraction process,is hard to converge,owing to the highly nonlinear and coupled nature of *** by the pseudo-transient continuation modeling concept proposed by Pattison and Baldea[1],we developed the PTC models by decoupling rigorous MESH equations of extraction column,converted algebraic equations of original model into differential algebraic equations(DAE) that are statically equivalent with the original *** models improve the convergence of EO process flowsheet simulation by expanding the convergence basin.
The ability to control the propagation of light through scattering media is essential for atmospheric optics, astronomy, biomedical imaging, and remote sensing. The optimization of focusing light through a scattering ...
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The ability to control the propagation of light through scattering media is essential for atmospheric optics, astronomy, biomedical imaging, and remote sensing. The optimization of focusing light through a scattering medium is of particular interest for the case of highly scattering materials. Optical wavefront beam-shaping plays a critical role in optimizing such a propagation;however, an enormous field of adjustable parameters makes the overall task complicated. Here, we propose and experimentally evaluate several variations on the standard continuous sequential algorithm (CSA) that hold a promise of revealing new, faster, and more efficient optimization algorithms for selecting an optical wavefront to focus light through a scattering medium. We demonstrate that the order in which pixels are chosen in the CSA can lead to a two-fold decrease in the number of iterations required to reach a given enhancement.
Scrum is a well-known methodology in software development describing as organization in a developer team. A scrum team is a small size with expert members, rich communication, sharing knowledge, self-organization, and...
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ISBN:
(纸本)9781538604083
Scrum is a well-known methodology in software development describing as organization in a developer team. A scrum team is a small size with expert members, rich communication, sharing knowledge, self-organization, and self-planning. Scrum process in this version developed by an attempt to create a self-organization team, which an action-reward function integrated in the proposed algorithm. This paper proposed a scrum process creating an optimization algorithm in the class of evolutionary computation. The proposed algorithm experimented on 30 numerical functions by the benchmark coding from the CEC2017 competition problems. The experiment results indicate that uses action-reward function to organize operation planning can help the proposed algorithm finding the best result
This paper proposed an optimization algorithm for exit choice for the *** algorithm aims at minimizing the overall evacuation time from the global *** basic concept of the algorithm is balancing the number of pedestri...
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This paper proposed an optimization algorithm for exit choice for the *** algorithm aims at minimizing the overall evacuation time from the global *** basic concept of the algorithm is balancing the number of pedestrians selecting each exit to make all the evacuees leave the building simultaneously as far as *** a theater with six exits as an example,the T'DS+EVAC software is used to simulate the evacuation *** results of pedestrians' exit choice and the evacuation time with and without optimization are compared and *** shows that adopting the optimized choice strategy can greatly improves the utilization of the exits during the evacuation,and all of the evacuees leave the building almost simultaneously.
This paper mainly discusses the integration strategy of two-step optimization in IMRT (step and shoot type) which is carried on by MLC. Firstly, we introduce the goal of fluence map smoothing method, which is widely u...
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ISBN:
(纸本)9781538630228
This paper mainly discusses the integration strategy of two-step optimization in IMRT (step and shoot type) which is carried on by MLC. Firstly, we introduce the goal of fluence map smoothing method, which is widely used in IMRT inverse planning. After that, we give the definition of the total number of segments (TNS) and the total number of monitor units (TNMU). Furthermore, we point out that the reducing TNMU and TNS is two optimization goals in leaf decomposition. Based on the theorem mentioned in this paper, we give the corresponding integration optimization algorithm. The algorithm could ensure minimum TNMU as well as control TNS as much as possible. Integrated optimization algorithm is also making full use of the feedback iterative optimization strategy. The experimental results prove the superiority of the new integrated optimization algorithm.
Microstructure design can have a substantial effect on the performance of critical components in numerous aerospace applications. However, the stochastic nature of metallic microstructures leads to deviations in mater...
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ISBN:
(数字)9781624104534
ISBN:
(纸本)9781624104534
Microstructure design can have a substantial effect on the performance of critical components in numerous aerospace applications. However, the stochastic nature of metallic microstructures leads to deviations in material properties from the design point, and it alters the performance of these critical components. In this work, an inverse stochastic design approach is introduced such that the material is optimized while accounting for the inherent variations in the microstructure. The highlight is an analytical uncertainty quantification model via a Gaussian distribution to model propagation of microstructural uncertainties to the properties. A metallic microstructure is represented using a finite element discretized form of the orientation distribution function. A stochastic optimization approach is proposed that employs the analytical model for uncertainty quantification, to maximize the yield strength of Galfenol microstructure in a compliant beam when constrained by uncertainties in the designed natural frequency of vibration. The results of the stochastic optimization approach are validated using a Monte Carlo simulation. It is also shown that multiple microstructure solutions can be identified using the null space of the linear systems involved in the optimization.
Combining the theory of correlation and simple ant colony optimization blind algorithms, basing on the transmission cluster partition model of wireless sensor networks, we propose a new blind detection scheme. The sch...
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ISBN:
(纸本)9781509013173
Combining the theory of correlation and simple ant colony optimization blind algorithms, basing on the transmission cluster partition model of wireless sensor networks, we propose a new blind detection scheme. The scheme first uses blind detection algorithm based on simple ant colony optimization algorithms to derive the reference node information and in turn, to estimate the transmission channel. It then combines the anti-estimated transmission channel of reference sensor nodes to recover other non-reference nodes information in the clusters according to the correlation among the transmission signal of each sensor in the model. Simulation results show the feasibility of the scheme.
The ability to control the propagation of light through scattering media is essential for atmospheric optics, astronomy, biomedical imaging, and remote sensing. The optimization of focusing light through a scattering ...
详细信息
The ability to control the propagation of light through scattering media is essential for atmospheric optics, astronomy, biomedical imaging, and remote sensing. The optimization of focusing light through a scattering medium is of particular interest for the case of highly scattering materials. Optical wavefront beam-shaping plays a critical role in optimizing such a propagation;however, an enormous field of adjustable parameters makes the overall task complicated. Here, we propose and experimentally evaluate several variations on the standard continuous sequential algorithm (CSA) that hold a promise of revealing new, faster, and more efficient optimization algorithms for selecting an optical wavefront to focus light through a scattering medium. We demonstrate that the order in which pixels are chosen in the CSA can lead to a two-fold decrease in the number of iterations required to reach a given enhancement.
Modern diesel engines equip the exhaust gas recirculation (EGR) system because it can suppress NOx emissions effectively. However, since a large amount of exhaust gas might cause the degradation of drivability, the co...
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Modern diesel engines equip the exhaust gas recirculation (EGR) system because it can suppress NOx emissions effectively. However, since a large amount of exhaust gas might cause the degradation of drivability, the control strategy of EGR system is crucial. The conventional control structure of the EGR system uses the mass air flow (MAF) as a control indicator, and its set-point is determined from the well-calibrated look-up table (LUT). However, this control structure cannot guarantee the optimal engine performance during acceleration operating conditions because the MAF set-point is calibrated at steady operating conditions. In order to optimize the engine performance with regard to NOx emission and drivability, an optimization algorithm in a function of the intake oxygen fraction (IOF) is proposed because the IOF directly affects the combustion and engine emissions. Using the NOx and drivability models, the cost function for the performance optimization is designed and the optimal value of the IOF is determined. Then, the MAF set-point is adjusted to trace the optimal IOF under engine acceleration conditions. The proposed algorithm is validated through scheduled engine speeds and loads to simulate the extra-urban driving cycle of the European driving cycle. As validation results, the MAF is controlled to trace the optimal IOF from the optimization method. Consequently, the NOx emission is substantially reduced during acceleration operating conditions without the degradation of drivability.
The power allocation optimization algorithm can improve the efficiency of resource utilization, which is of great significance to the power restrained satellite communication systems. This paper taking both performanc...
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ISBN:
(纸本)9783319387895;9783319387871
The power allocation optimization algorithm can improve the efficiency of resource utilization, which is of great significance to the power restrained satellite communication systems. This paper taking both performance analysis of the end-to-end link and influence of repeater gain on power allocation into consideration, and a repeater gain settings based resource allocation model is built. On the basis of analyzing the above model, an algorithm of joint optimization of repeater gain setting and power allocation is proposed. After dual decomposition algorithm searching the optimal solution of power allocation with certain repeater gain, the proposed algorithm searches the optimal repeater gain by applying the steepest descent method. Simulation results show that global optimization solution of system capacity is obtained with detailed results of power allocation and repeater gain.
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