Accurate protein-ligand binding free energy estimation using QM/MM on multi-conformers predicted from classical mining minima by Farzad Molani, Art E. Cho

“…The method achieved a high Pearson’s correlation coefficient (0.81) with experimental binding free energies across diverse targets, demonstrating its generality. Using a differential evolution algorithm with a universal scaling factor of 0.2, we achieved a low mean absolute error of 0.60 kcal mol- 1. …”
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Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach by Youwen Yi, Lianghong Peng

“…By combining the Adaptive Penalty Function (APF) method with the Differential Evolution (DE) algorithm, the study effectively addresses related non-linear and non-convex optimization problems. …”
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A novel LTE indoor location system based on multiple antenna clusters by Yajuan LV, Shan LIU, Rongyi HU, Wenhao ZHANG

“…Then, a new location algorithm was designed which could support flexible antenna configuration. …”
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Power Law Analysis of Financial Index Dynamics by J. Tenreiro Machado, Fernando B. Duarte, Gonçalo Monteiro Duarte

“…This paper applies PL description to analyze different periods of the business cycle. With such purpose the evolution of ten important stock market indices (DAX, Dow Jones, NASDAQ, Nikkei, NYSE, S&P500, SSEC, HSI, TWII, and BSE) over time is studied. …”
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Optoelectronic optimization of graded-bandgap CdTeSe thin-film solar cells by Faiz Ahmad, Akhlesh Lakhtakia, Peter B Monk

“…Optimization using the differential evolution algorithm indicates that linearly and nonlinearly graded CdTeSe photon-absorbing layers of 3000 nm thickness can deliver an efficiency of 21.79% and 21.22%, respectively, when the selenium-to-tellurium ratio is not allowed to exceed 2/3. …”
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Energy Interaction and Energy Storage Sharing Optimization Method for Users, Base Stations, and Charging Stations by HU Long, FANG Baling, FAN Feilong, CHEN Dawei, LI Xinxi, ZENG Run

“…Next, incorporating 0-1 integer variables, a solution method utilizes the adaptive differential evolution algorithm combined with the mixed-integer optimization theory. …”
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Study on the calculation of surface residual deformation in goaf based on the Gudermann time function by Haiguang Du, Wenchang Wang, Zhilin Dun, Lianwei Ren, Yakun Nan

“…In order to comprehensively and effectively grasp the dynamic evolution process of surface movement and deformation, and realize the scientific and accurate residual deformation calculation of each key point of the surface in goaf, the Gudermann time function for dynamic anticipation is established by introducing the Gudermann function and optimizing it, the spatial and temporal characteristics of this function in the subsidence prediction are analyzed, and the influence law of parameter changes on the surface subsidence, subsidence velocity and subsidence acceleration curve patterns of the Gudermann time function is discussed, and the method of extracting the optimal values of the function parameters by Simulated Annealing Algorithm (SAA) is presented. …”
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Applicability Analysis of Log Calculation Method for Organic Matter Maturity of Changning Shale Gas Reservoir in Southern Sichuan Basin by QIU Dingguo, YAN Jianping, GUO Wei, LIAO Maojie, QIU Xiaoxue, HUANG Yi

“…The shale formation of Wufeng formation and Longmaxi formation in southern Sichuan are affected by sedimentation and uplift caused by multi-stage tectonic movement, which makes the degree of thermal evolution in different regions very different. The maturity of organic matter is an important parameter to evaluate the degree of thermal evolution of shale gas reservoirs. …”
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A novel computational method identifies intra- and inter-species recombination events in Staphylococcus aureus and Streptococcus pneumoniae. by Lisa Sanguinetti, Simona Toti, Valerio Reguzzi, Fabio Bagnoli, Claudio Donati

“…The locations of the recombination breakpoints are determined using a statistical test that is able to account for the differences in the natural rate of evolution between different genes. …”
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A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…The model first selects critical EEG channels using the Differential Evolution (DE) algorithm, extracting important electrode channel information to enhance recognition accuracy. …”
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Tomography of Parametrized Quantum States by Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer

“…We showcase our algorithm with two examples of shadow tomography of states time evolved under an NMR Hamiltonian and a free-fermionic Hamiltonian.…”
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A Comparison of Inversion Methods for Surrogate‐Based Groundwater Contamination Source Identification With Varying Degrees of Model Complexity by Zhenbo Chang, Zhilin Guo, Kewei Chen, Zibo Wang, Yang Zhan, Wenxi Lu, Chunmiao Zheng

“…To evaluate the applicability of these methods, we chose one representative inversion algorithm from each category, namely the Improved Butterfly Optimization Algorithm (IBOA) for simulation optimization, the Ensemble Smoother with Multiple Data Assimilation (ES‐MDA) for data assimilation, and the DiffeRential Evolution Adaptive Metropolis with a Snooker Update and Sampling from a Past Archive (DREAM(ZS)) for Bayesian inference. …”
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Optimizing the Joint Replenishment and Delivery Scheduling Problem under Fuzzy Environment Using Inverse Weight Fuzzy Nonlinear Programming Method by Yu-Rong Zeng, Lin Wang, Xian-Hao Xu, Qing-Liang Fu

“…Thirdly, the fuzzy simulation approach and differential evolution algorithm (DE) are utilized to solve this problem. …”
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REVEALING THE NOCTILUCENT CLOUD FIELDS STRUCTURE BY SOFTWARE PROCESSING OF SATELLITE IMAGES by beibut useinov, Andrei Solodovnik, Roman . Kleksin1, Pavel Leontyev, Beibut Useinov, Agniya Markova, Svetlana Kassimova

“…A significant part of the work is devoted to the describing of the algorithm for constructing the program, choosing a programming language and implementing the task. …”
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An Inter-Regional Lateral Transshipment Model to Massive Relief Supplies with Deprivation Costs by Shuanglin Li, Na Zhang, Jin Qin

“…A phased interactive framework incorporating adaptive differential evolution (JADE) and improved adaptive large neighborhood search (IALNS) is designed. …”
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Single-loop translational space-parallel mechanism with motion decoupling: topological design and kinematics dimension optimization by PAN Haiyue, SHEN Huiping, DU Zhongqiu, LI Tao, LI Ju

“…Secondly, the symbolic positional positive and negative solutions, workspaces, and the singularities and their singular positions were derived for each of the four PMs and verified, respectively. Finally, the differential evolution algorithm was used to optimize the maximum workspace of the four mechanisms, and their maximum workspace were finally obtained.ResultsThis single-loop translation spatial parallel mechanism can be used to design the unit of modular rod-type robots. …”
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A Real Time Coordinated Hydro Governor With Dual STATCOM for Low Frequency Oscillation Damping Using Hybrid Mean DE & TVAPSO by Samarjeet Satapathy, Narayan Nahak, Renu Sharma

“…A new multi-objective mean Differential Evolution with time varying accelerated Particle Swarm Optimization algorithm (MeDETVAPSO) has been implemented to tune controller parameters. …”
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Spatial Vibration Characteristics and Damage Identification of Toppling Dangerous Rock Mass by Chen ZHAO, Mowen XIE, Yan DU, Zhengjun HUANG, Zheng HE, Guang LU

“…The unidirectional kinetic indices are strongly correlated with the damage evolution of the structural plane and show directional differences in the damage sensitivity of the dangerous rock mass. …”
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Advanced driver assistance system (ADAS) and machine learning (ML): The dynamic duo revolutionizing the automotive industry by Harsh SHAH, Karan SHAH, Kushagra DARJI, Adit SHAH, Manan SHAH

“…This study summarizes all the critical algorithms used in ADAS technologies and presents the evolution of ADAS technology. …”
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Task offloading and resource allocation in vehicle heterogeneous networks with MEC by Haibo ZHANG, Qiuji LUAN, Jiang ZHU, Fangwei LI

“…Based on the advantages of high-bandwidth and low-latency brought by mobile edge computing (MEC),which could provide IT service environment and cloud computing capability,combined with the long-term evolution unlicensed (LTE-U) technology,the task offloading decision and resource allocation issues in vehicle heterogeneous network were studied.Considering the link differentiation requirements,which were the high capacity of vehicle-to-roadside unit (V2I) links and the super reliability of vehicle-to-vehicle (V2V) links,quality of service (QoS) was modeled as the combination of capacity and latency.Firstly,the improved K-means algorithm was used to cluster the request vehicles according to different QoS to determine the communication mode.Secondly,the LTE-U technology based on non-competition period (CFP) which was combined with carrier aggregation (CA) technology,and the distribution Q-Learning algorithm were adopted to allocate the channel and power.The simulation results show that the proposed mechanism can maximize the V2I link traversal capacity while ensuring the reliability of the V2I link.…”
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