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681
A New Optimization Approach for Maximizing the Photovoltaic Panel Power Based on Genetic Algorithm and Lagrange Multiplier Algorithm
Published 2013-01-01“…First the dummy variables that have effect on the output power are classified into two categories: dependent and independent. …”
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682
A Three-Block Inexact Heterogeneous Alternating Direction Method of Multipliers for Elliptic PDE-Constrained Optimization Problems with a Control Gradient Penalty Term
Published 2024-10-01“…In some practical applications, it is necessary to smooth the control variables and suppress their large fluctuations, especially at the boundary. …”
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683
Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation
Published 2024-01-01“…Optimization was conducted for six variables in a single stage, with 25 tests performed. …”
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684
Assessing the Effectiveness of DL-Clustering for Energy Optimization in Wireless Sensor Networks
Published 2025-08-01“…Determining the fitness function allows us to estimate the player's stability over these variables. …”
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685
Optimal tuning of multi-PID controller using improved CMOCSO algorithm
Published 2024-11-01“…In this model, the parameters are designated as decision variables, the performance index serves as the objective function, and the stability constraints of the system are incorporated. …”
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686
Performance Investigation of Coated Carbide Tools in Milling Procedures
Published 2025-03-01“…In particular, FE models were utilized to compute the milling forces and the corresponding developed stress fields, as well as to assess the cutting tool’s performance based on certain machining variables. Furthermore, a comparative analysis between AI-driven forecasts and FEM simulations was performed to evaluate their effectiveness and reliability. …”
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687
Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature
Published 2024-11-01“…Owing to their runtime efficiency, emulators are especially useful when large amounts of data are required, for example, for in-depth exploration of the emission space, for investigating high-impact low-probability events, or for estimating uncertainties and variability. …”
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688
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689
Thermal and flow simulations of metal oxide trihybrid nanofluids over a vertical stretching cylinder
Published 2025-06-01“…By employing similarity variables, we transform the governing equations into dimensionless ordinary differential equations, which are then solved numerically using MATLAB's bvp4c function. …”
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690
A theory and data-driven method for rapid bottom hole pressure calculation in UGS
Published 2025-03-01“…Subsequently, it delves into the characteristic variables closely related to bottom hole pressure and constructs a neural network model on this basis. …”
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691
Protein docking by the underestimation of free energy funnels in the space of encounter complexes.
Published 2008-10-01“…We introduce a strategy that uses separate independent variables for side-chain optimization, center-to-center distance of the two proteins, and five angular descriptors of the relative orientations of the molecules. …”
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692
Optimization of phosphorus adsorption on honeycomb briquette ash by application of response surface methodology
Published 2024-01-01“…At these conditions, removal efficiency and desirability function were found to be 96% and 1.000, respectively. …”
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693
Swarm based Heuristic Optimization of the Recurrent Customers and Standby Server Under General Retrial Times
Published 2025-08-01“…Using the supplementary variable technique (SVT), the probability generating functions (PGFs) and steady-state probabilities for the system's states, have been obtained enabling the development of comprehensive performance measures. …”
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694
Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm
Published 2024-12-01“…The tuning process, performed using the classical interior point method (IPM), provides optimal initial control variable values for the standard pattern search (PS) algorithm. …”
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695
Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation
Published 2023-06-01“…The responses of the system to an increase in the durtion of the probing pulse and a change in the type of window function were evaluated. An empirical dependence of signal losses during propagation in radio channels of LFM GPR has been established. …”
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696
Assignment of the cutting mode when boring holes on CNC machine
Published 2023-10-01“…In addition, positive feedback is taken into account through the delay argument function, which represents machining along traces. …”
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697
Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm
Published 2022-12-01“…A simple empirical model is presented that does not consider in detail the characteristics of the state of batteries during a separate charge-discharge cycle, and does not include voltaic variables. The model considers the intensity of the current wear of the battery as a function of the state of its charge, temperature, the current of the external circuit and the current of self-discharge, the full charge that has flowed through the battery since the beginning of its operation. …”
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698
Stability and Optimal Control Analysis for a Fractional-Order Industrial Virus-Propagation Model Based on SCADA System
Published 2025-04-01“…Thirdly, we formulate our system as an optimal control problem by introducing appropriate control variables and derive the corresponding optimality conditions. …”
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699
Parametric Survival Models of Hemodialysis Patients in Relation with Patient-Related Factors
Published 2020-12-01“…Based on the Cox-Snell Residuals and AIC, BIC, and Gompertz (PH) model is an efficient model than other when the values of (AIC=662.21), (BIC=703.83) and (R2=0.211) where maintained Study assessed that the variables dealing with univariate models were signifi cant but had a signifi cant effect on hemodialysis survival. …”
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700
Intelligent hybrid method to predict generated power of solar PV system
Published 2025-05-01“…The input solar PV power data are broken down into intrinsic mode functions (IMFs) using EMD technique is fed into the PSO-ANFIS, along with important meteorological variables. …”
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