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101
A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering
Published 2023-01-01“…Based on the experimental data, the quality of the clustered models produced is approximately 3.219, with a standard deviation of 0.0718 across the ten benchmarks. The proposed method surpasses former methods in convergence, modularization quality, and result stability. …”
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102
Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration
Published 2024-12-01“…The model integrates multi-source data from the Lattice Boltzmann Method (LBM), Pore Network Modeling (PNM), and Finite Difference Method (FDM). …”
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103
Using Convex Optimization to Efficiently Apportion Tracer and Pollutant Sources From Point Concentration Observations
Published 2024-05-01“…As a case study, we use this method to map the elemental geochemistry of sediment sources for rivers draining the Cairngorms mountains, UK. …”
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104
Source–load matching and energy storage optimization strategies for regional wind–solar energy systems
Published 2025-07-01“…<p>In response to the issue of limited new energy output leading to poor smoothing effects on grid-connected load fluctuations, this paper proposes a load-power smoothing method based on “one source with multiple loads”. …”
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105
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106
Optimal sizing of hybrid energy storage system under multiple typical conditions of sources and loads
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107
Reserve optimization model of wind power with the coordination of multiple type electric power system sources
Published 2025-07-01“…Abstract Aiming at the optimization problem of frequency regulation energy reserve cost faced by wind power stations participating in primary frequency regulation, a reserve optimization model of wind power based on DPGMM-LSTM with the coordination of multi-type electric power system sources is proposed. …”
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108
Resilience-Oriented Optimization of Source-Grid-Load Flexible Resources in Distribution Systems: Review and Prospect
Published 2022-04-01“…The categories and modeling methods of flexible resources on source-grid-load sides, as well as their applications in resilient distribution systems, are reviewed and discussed in detail. …”
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109
Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees
Published 2025-04-01“…Subsequently, machine learning methods such as random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and multiple linear regression (MLR) were employed, in combination with sensitive spectral indices, to develop a multi-source remote sensing soil salinity estimation model optimized for different salinization degrees (mild or lower salinization vs. moderate or higher salinization). …”
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110
Residual host cell proteins: sources, properties, detection methods and data acquisition modes
Published 2025-08-01“…The research in the future includes the development of more efficient sample pretreatment methods and data processing techniques to improve the sensitivity and accuracy of detection. …”
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111
UAV launch methods
Published 2024-06-01“…With the continuous introduction of new UAV types, understanding the most effective launch methods for each specific case is paramount. The objective of this study is to systematically structure and analyze UAV launch methods based on various parameters, providing a comprehensive framework for selecting the optimal launch approach for any given UAV application.Systematization was conducted based on the following parameters: UAV mass and dimensions, flight speed, launch site infrastructure availability, weather conditions, cost of launch device and operation, UAV production scale, other specific requirements. …”
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112
Methodical Principles of Calculation and Analysis of Opened Power Network with Several Power Supply Sources
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113
A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP
Published 2022-03-01“…Aiming at the low accuracy of traditional voltage sag source positioning methods, this paper proposes a new location method based on HHT and GA-BP. …”
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114
Two‐stage stochastic robust optimal scheduling of virtual power plant considering source load uncertainty
Published 2024-12-01“…Abstract Aiming at the optimal scheduling problem of virtual power plant (VPP) with multiple uncertainties on the source‐load side, this paper proposes a two‐stage stochastic robust optimal scheduling method considering the uncertainty of the source‐load side. …”
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115
On the implementation of a global optimization method for mixed-variable problems
Published 2021-02-01“…We describe the optimization algorithm implemented in the open-source derivative-free solver RBFOpt. …”
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116
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117
Determining the Optimal Source Points in MFS by Minimizing an Energy Gap Functional for 3D Laplace Operator
Published 2020-01-01“…In this paper, an extended version of the method of minimizing an energy gap functional for determining the optimal source points in the method of fundamental solutions (MFS) is applied to the 3D Laplace operator subject to the Dirichlet and Neumann boundary conditions. …”
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118
Multi-objective optimization and performance evaluation of rotary furnace refractory linings using locally sourced materials
Published 2025-06-01“…The Grey Taguchi method and grey relational analysis were employed to optimize cold crushing strength (CCS), thermal shock resistance (TSR), and open porosity (OP). …”
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119
Optimal Configuration of Additional Heat Source for CHP System considering Demand Response Based on Comprehensive Benefits
Published 2024-01-01“…An optimal configuration method for the combined heat and power (CHP) system considering demand response is proposed to scientifically and reasonably configure the parameters of the additional heat source and reduce unnecessary investment and construction costs. …”
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120
Robust Optimization of Active Distribution Networks Considering Source-Side Uncertainty and Load-Side Demand Response
Published 2025-07-01“…Aiming to solve optimization scheduling difficulties caused by the double uncertainty of source-side photovoltaic (PV) output and load-side demand response in active distribution networks, this paper proposes a two-stage distribution robust optimization method. …”
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