A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station by Hanchuan Pan, Zhigang Liu

“…In this paper, based on the M/G/C/C state-dependent queuing model, a probabilistic selection optimization model is proposed to assess the capacity of the station. …”
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Efficiency-House Optimization to Widen the Operation Range of the Double-Suction Centrifugal Pump by Wenjie Wang, Majeed Koranteng Osman, Ji Pei, Shouqi Yuan, Jian Cao, Fareed Konadu Osman

“…To solve that problem, an optimization strategy has been designed to widen the high-efficiency range of the double-suction centrifugal pump at design (Qd) and nondesign flow conditions. …”
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Optimization of Working Conditions for Perovskite-Based Gas Sensor Devices by Multiregression Analysis by Fabio Zaza, Vanessa Pallozzi, Emanuele Serra

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Sailing Speed Optimization Model for Slow Steaming Considering Loss Aversion Mechanism by Yuzhe Zhao, Jingmiao Zhou, Yujun Fan, Haibo Kuang

“…This paper analyses loss aversion mechanism (LAM) of the shipping company’s decision-makers about the risk-based decision (RBD) for slow steaming and generalizes a novel optimization model for the sailing speed through the trade-off between fuel consumption, SOx emissions and delivery delay. …”
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A protocol to optimize non-invasive brain stimulation for post-stroke rehabilitation by Ayesha Juhi, Manul Das, Dinesh Bhatia, Suman Dhaka, Rajesh Kumar, Deepak Kumar, Shreya Sharma, Pritam Kumar Chaudhary, Chanchal Goyal, Md Asif Khan, Himel Mondal

“…This randomized controlled trial investigates the optimal dosing for post-stroke rehabilitation using repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS). …”
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Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process by Jelena Djuriš, Djordje Medarević, Marko Krstić, Ivana Vasiljević, Ivana Mašić, Svetlana Ibrić

“…The aim of this study was to optimize fluid bed granulation and tablets compression processes using design space approach. …”
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Optimizing Demand Forecasting Method with Support Vector Regression for Improved Inventory Planning by Tryantomo Lokhilmahful Palgunadi, Rina Fitriana, Anik Nur Habyba, Yun-Chia Liang

“…This study aims to obtain the best kernel function forecasting model by predicting ground rod sales using the Support Vector Regression (SVR) method in order to determine the level of forecasting accuracy and the results of ground rod forecasting in the future which are presented in an optimal data visualization. This problem-solving is done with the Support Vector Regression method, which consists of linear kernel functions, polynomial kernel functions, and radial basis function (RBF) kernel functions with the Grid Search Algorithm. …”
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Time-Dependent Reliability-Based Design Optimization Utilizing Nonintrusive Polynomial Chaos by Yao Wang, Shengkui Zeng, Jianbin Guo

“…Time-dependent reliability-based design optimization (RBDO) has been acknowledged as an advance optimization methodology since it accounts for time-varying stochastic nature of systems. …”
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Model Analysis of Environmental and Economic Impacts of a Microgrid Based on the Optimization Method by Pengxiao Ji

“…In order to improve the synergistic effect of a microgrid and its economic impact, this paper applies the optimization method to the improvement of microgrid operation. …”
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Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement by Dácil Díaz-Bello, Carlos Vargas-Salgado, Manuel Alcazar-Ortega, David Alfonso-Solar

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Design and optimization of high-contrast gratings for multispectral VCSEL-SOI laser sources by I.S. Shashkin, M.I. Kondratov, A.E. Grishin, K.E. Pevchikh, S.O. Slipchenko, N.A. Pikhtin

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New methods and algorithms of the multifunctional optimization for CAE-system of some technological processes by O. I. Chichko

“…There are offered the models and algorithms for solution of the technological tasks, connected with optimization of the melts stream processes in gating systems and also for optimization of the process of the industrial details thermal treatment. …”
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Multi-objective optimization of hybrid energy systems using gravitational search algorithm by Sayyed Mostafa Mahmoudi, Akbar Maleki, Dariush Rezaei Ochbelagh

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Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm by Vedant Singh, Somesh K. Sharma, S. Vaibhav

“…The objective function for the optimization was a minimization of MTOW. The use of genetic real coded algorithm (GA) as an optimization tool for an aircraft can help to reduce the number of qualitative decisions. …”
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Strategic Behavior of Customers and Optimal Control for Batch Service Polling Systems with Priorities by Tao Jiang, Xingzheng Lu, Lu Liu, Jun Lv, Xudong Chai

“…Finally, we formulate the revenue function of the service provider and present the Particle Swarm Optimization algorithm to seek the optimal service prices for the high-priority and low-priority customers to maximize the service provider’s revenue under the two levels of information.…”
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Optimal Control Problem Governed by an Evolution Equation and Using Bilinear Regular Feedback by Badriah Shuwaysh Alanazi, Maawiya Ould Sidi

“…We solve an optimal control problem governed by an evolution equation using bilinear regular feedback. …”
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Customized evaluation of special endurance and functionality for optimal health and performance in judo athletes by Valery Goloha, Pavol Bartik

“…Background and Study Aim. Achieving optimal health and performance in judo athletes requires a customized approach to training and evaluation. …”
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Thermodynamic re-optimization of the Cu-Mg-Sn system at the Cu-Mg side by Miettinen J., Vassilev G.

“…The thermodynamic parameters of the binary sub-systems, Cu-Mg, Cu-Sn and Mg-Sn, are taken from the earlier SGTE-based assessments (modifying the Mg-Sn description slightly) and those of the Cu-Mg-Si system are optimized in this study using the experimental thermodynamic and phase equilibrium data. …”
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Optimal control of a mathematical model for cancer chemotherapy under tumor heterogeneity by Shuo Wang, Heinz Schättler

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Classification of the optimal rebalancing frequency for pairs trading using machine learning techniques by Mahmut Bağcı, Pınar Kaya Soylu

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