Business process recommendation method based on cost constraints by Qianqian Wang, Chifeng Shao, Xianwen Fang, Huamin Zhang

“…Here, a process recommendation method based on cost constraints is proposed to solve the problem of difficult to distinguish similar processes. …”
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Research on Constraint Processing Method of High-dimensional Optimization Operation Problem of Cascade Reservoirs by Zhongzheng HE, Shuliang LI, Wei HUANG, Feng YAN, Jisi FU, bin XIONG

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Constraint Ontology in Design Process by Golnaz Mashreghi, Hamid Reza Ansari

“…The concept of design is associated with the notion of constraint as a limiting factor, and the search for the constraint in the design process is essential in design research. …”
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Review of the Environmental Performance Index (EPI): Methods, Constraints and Recommendations by Uğur Arcagök

“…During the formation of composite index constructs, some constraints are encountered with respect to considerations such as the availability or accessibility of indicators, weights of such indicators, sub-indicators or variables to be used for reaching the indicators, data pertaining to such variables, and the determination of the most convenient method to be used for arranging the data set. …”
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Approximation method of multiple consistency constraint under differential privacy by Jianping CAI, Ximeng LIU, Jinbo XIONG, Zuobin YING, Yingjie WU

“…Under differential privacy, to solve the optimal publishing problem with multiple consistency constraints, an approximation method of multiple consistency constraints was proposed by the theoretical analysis of the principle of optimal consistency release.The main idea was to divide the consistency constraint problem into several consistency constraint sub-problems and then achieve the original problem's optimal consistency release by solving each consistency constraint sub-problem repeatedly and independently.The advantage was that after the consistency constraint problem divided, the sub-problems were often easier to solve, or the technology to achieve optimal and consistent release of sub-problems is quite mature.Therefore more complex differential privacy optimal release problem could be solved.After analysis, the approximation method's convergence was fully demonstrated, ensuring that any partition of consistency constrained sub-problems can always achieve the optimal consistency release of the original problem.Furthermore, taking the sales histogram publishing as an example, based on the approximation method of multiple consistency constraints, a parallel algorithm was designed with optimal consistency release under differential privacy.The experimental results show that the algorithm's efficiency is 400 times higher than that of the general solution, and the algorithm can process millions of large-scale data.…”
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Method of optimization of the robot-manipulator position in the technological process of laser cutting by M. M. Kazheunikau, O. A. Chumakou, I. E. Iliushin, А. А. Jurkina

“…In this paper, we propose a new technique for optimizing the robot-manipulator position relative to the cutting contour, which takes into account, compared with known approaches, constraints on  the  possibilities  of  the  cutting  tool  movements,  as  well  as kinematic  and  geometric  constraints  on  the movements of the robot itself. …”
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Wireless Propagation Multipaths using Spectral Clustering and Three-Constraint Affinity Matrix Spectral Clustering by Jojo Blanza

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Optimization of the Production Process using the Theory of Constraints (TOC) Method based on Drum-Buffer-Rope (DBR) Improvements by Destiara Nabila Widyarsa, Rr. Rochmoeljati

“…The main issue faced by the company is the presence of bottlenecks at specific workstations due to unbalanced capacity, which disrupts the smooth flow of the production process. To address this issue, the study applies the Theory of Constraints (TOC) method based on the Drum-Buffer-Rope (DBR) concept, in combination with Linear Programming (LP). …”
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Parameter Optimization Method for Predictor–Corrector Guidance With Impact Angle Constraint by Xinwan Kong, Cheng Zhang

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An Admission Control Method Based on QoS Constraint of BSN Traffic Aggregation by Zhenyu Xu, Shuo Shi, Xuemai Gu, Zhenbang Wang, Shida Zhu

“…Based on the function, by combining multiple target optimizing method and considering joint constraint of queue delay and packet loss probability, we proposed an admission control method based on traffic aggregation QoS constraint. …”
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Mainlobe and sidelobe jamming suppression method based on distributed array radar with eigen‐projection matrix processing and null constraints by Bowen Han, Xiaopeng Yang, Qiang Lv, Wolin Li, Zhengyan Zhang, Shichao Zhong

“…To tackle this issue, a mainlobe and sidelobe jamming joint suppression method with eigen‐projection matrix processing (EMP) and null constraints is proposed. …”
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Multi-Objective Optimization Method for High-Efficiency and Low-Consumption Wire Rope Greasing Process by Fan Zhou, Yuemin Wang, Ruqing Gong, Binghui Tang

“…To address issues such as low maintenance efficiency and excessive grease usage, this study proposes a high-efficiency, low-consumption optimization control method for the wire rope greasing process. A time objective function for the greasing process and a consumption objective function for grease are established. …”
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Gaussian Process Regression with Soft Equality Constraints by Didem Kochan, Xiu Yang

“…This study introduces a novel Gaussian process (GP) regression framework that probabilistically enforces physical constraints, with a particular focus on equality conditions. …”
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Resolution Improvement Method of Azimuth Gamma Imaging Logging Based on Regularization Constraint by YU Huawei, ZHAO Shuai, YUE Xizhou, LI Guoyu, SHAO Cairui, XIAO Hongbing, CHEN Jinhong

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Managing Constraints in a Machinery Company Using Theory of Constraints’ Thinking Process Tools. Case Study by Knop Krzysztof

“…A case study was used as the research method. Interviews, direct observations, and performance indicator analysis were used to identify the most critical constraints in the production department of the studied company. …”
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Optimization of the structure of the learning process under the given constraints by A. A. Lobaty, D. A. Konopacki

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Integrating Top‐Down Energetic Constraints With Bottom‐Up Process‐Based Constraints for More Accurate Projections of Future Warming by D. Watson‐Parris

“…Traditional approaches often rely on either bottom‐up process‐based models, difficult to constrain against present‐day observations, or top‐down methods that lack the ability to capture the underlying processes accurately. …”
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Modified Non-Negative Constraint Damping Method for T2 Spectrum Inversion of Nuclear Magnetic Resonance by LEI Xin, LIAO Xinkai, LIAO Lidan

“…In order to optimize nuclear magnetic resonance (NMR) logging technology and accelerate the processing speed of NMR logging data, a class of non-negative constraint modified damping algorithm is proposed to solve the NMR T2 spectral inversion problem. …”
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A Fast Power Market Clearing Method Based on Active Constraints Identification by Deep Learning by Yunliang WU, Jianxin ZHANG, Bao LI, Peng LI, Zhiyong LI, Xin ZHOU, Yan YANG, Xiaowen LAI

“…Secondly, a deep learning strategy is proposed for identification of active constraint sets, which can provide technical support for deep neural networks to effectively identify the active constraints of SCED from two aspects: feature vector design and efficient processing of the results of deep neural network. …”
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A Forecasting Method for Provincial-level Energy Supply and Demand under Carbon Quota Constraint by Yan LI, Xin ZHAO, Wanlei XUE, Xiandong TAN, Zhifan LIU, Zhilin LIU

“…Considering multiple factors such as economic and social development status, energy consumption characteristics of each province, an indicator system for carbon quota allocation is constructed, encompassing aggregate and relative metrics, and balancing equity with efficiency, and a provincial-level energy supply-demand forcasting method under carbon quota constraints is proposed to achieve comprehensive balance analysis and prediction of primary and secondary energy of different varieties and industries covering the entire process. …”
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