A New Global Optimization Algorithm for Solving a Class of Nonconvex Programming Problems by Xue-Gang Zhou, Bing-Yuan Cao

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A novel multi-objective coverage optimization memetic algorithm for directional sensor networks by Aimin Wang, Yingnan Gao, Jing Wu, Geng Sun, Wenjuan Jia

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Study of the functional diagram and algorithm of tracking system for electrodynamic braking of DC electric train by V. A. Baranov, I. P. Vikulov, A. A. Kiselev, A. S. Maznev

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Development of Spectral Clustering Algorithm in Cognitive Diagnosis Model: Approach for Student’s Psychological Growth by Xiao Chang

“…Abstract With the development of intelligent education, the diagnostic performance of the traditional cognitive diagnostic model has been unable to meet the needs of today’s education. …”
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Solving a Vehicle Routing Problem under Uncertainty by a Differential Evolution Algorithm by Alireza Salamatbakhsh, Reza Tavakkoli-Moghaddam, Ali Pahlevani

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Quantitative Analyses and Development of a q-Incrementation Algorithm for FCM with Tsallis Entropy Maximization by Makoto Yasuda

“…The Tsallis entropy-based DA-FCM algorithm was developed by combining it with the deterministic annealing (DA) method. …”
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Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm by Dongjie Guan, Yitong Shi, Lilei Zhou, Xusen Zhu, Demei Zhao, Guochuan Peng, Xiujuan He

“…To overcome these limitations, this study develops and validates a high-resolution predictive model using advanced gradient boosting algorithms—Gradient Boosting Decision Tree (GBDT), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM)—based on socioeconomic, industrial, and environmental data from 2732 Chinese counties during 2008–2017. …”
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Educational Information System Optimization for Artificial Intelligence Teaching Strategies by Taotang Liu, Zhongxin Gao, Honghai Guan

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Auxiliary Particle Flow Track-Before-Detect Algorithm for Marine Neighboring Weak Targets by Fan Zhang, Chang Liu

“…Simulation experiments indicate that compared with track-before-detect algorithms based on parallel partition (PP) and auxiliary parallel partition (APP), the proposed algorithm shows an increase of 43.1% and 25.8% in detection probability at 6 dB, and a reduction of 76.6% and 66.2% in Root Mean Square Error (RMSE). …”
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Smart Energy Management for Hybrid Systems: A Genetic Algorithm in Response to Market Volatility by Dácil Díaz-Bello, Carlos Vargas-Salgado, Jesús Águila-León, David Alfonso-Solar

“…For this purpose, a genetic algorithm is applied to optimize energy management under different market conditions (COVID-19, the war, the Business as Usual situation, and future price trends for 2030). …”
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EtHgSC: Eigen Trick-Based Hypergraph Stable Clustering Algorithm in VANET by Mays Kareem Jabbar, Hafedh Trabelsi

“…To achieve high stability for the VANET, this paper presents a new efficient Eigen-trick-based hypergraph stable clustering algorithm (EtHgSC). This algorithm has a twofold scheme for stable CH selection. …”
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A Novel Method for Reducing Vehicle Emissions Utilizing IoT-Based IS-APCPSO Algorithm by Ke Huang, Jianjun Zhu

“…A two-level planning model on road traffic network optimization in IoT and the IS-APCPSO algorithm is deployed, which can effectively solve the above problems. …”
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Energy-saving optimization solution for multiple freight trains based on maFOA algorithm by LAN Li, LI Le, MA Ruijie

“…Additionally, a multi-strategy adaptive fruit fly optimization algorithm for population partitioning (maFOA) was proposed, to address the challenges faced by existing algorithms in solving complex nonlinear “train-track-grid" models, which often result in low convergence accuracy. …”
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A fast hyperspectral change detection algorithm for agricultural crops based on spatial reconstruction. by Jianghong Yuan, Er-Yang Chen, Haiyin Qing

“…Experimental results demonstrate that FHCDSR achieves superior performance on both datasets, with AUC values of 90.20% (Hermiston) and 95.39% (Yancheng), outperforming six state-of-the-art comparison methods by 3.39-14.78% in detection accuracy. Remarkably, the algorithm maintains high computational efficiency, completing analyses in 9.76 seconds (Hermiston) and 10.90 seconds (Yancheng), representing up to 94.05% reduction in processing time compared to conventional methods. …”
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Sentiment Analysis of the Issue of Eliminating the Independent Curriculum using the Naïve Bayes Classifier Algorithm by Ainul Haq Nurridha Warahmat Hidayat, Adhitia Erfina

“…The findings of this study can serve as a valuable reference for policymakers in understanding public opinion before making further decisions in the education sector.…”
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A hybrid genetic algorithm with cycle reassembly for solving colored traveling salesman problems by Zhicheng Lin, Jun Li

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Algorithm for Acoustic Wavefield in Space-Wavenumber Domain of Vertically Heterogeneous Media Using NUFFT by Ying Zhang, Shikun Dai

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UWB Indoor Localization Based on Artificial Rabbit Optimization Algorithm and BP Neural Network by Chaochuan Jia, Can Tao, Ting Yang, Maosheng Fu, Xiancun Zhou, Zhendong Huang

“…To overcome this challenge, this paper proposes a novel hybrid algorithm, termed ARO-BP, which integrates the Artificial Rabbit Optimization (ARO) algorithm with a BPNN. …”
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A Novel Approach for Enhancing Plant Leaf Classification With the Binary Cuckoo Search Algorithm by Mohammad Subhi Al-Batah, Mohammad Ryiad Al-Eiadeh, Yazan Alnsour

“…In this study, we introduced a model for classifying a variety set of plant leaves using different techniques such as factorization machine (FM), dimensionality reduction (DR), and ensemble learning (EL). In our study, FM is used as a classification algorithm, whereas DR is included in two stages, namely, feature extraction (FE) and feature selection (FS). …”
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The Algorithm for Recognizing Superposition of Wave Aberrations from Focal Pattern Based on Partial Sums by Sergey G. Volotovsky, Pavel A. Khorin, Aleksey P. Dzyuba, Svetlana N. Khonina

“…Due to the peculiarities of the focal pattern, some types of the considered superpositions are recognized ambiguously from the intensity pattern in the focal plane by standard error-reduction algorithms. It is numerically shown that when recognizing superpositions of Zernike functions from the intensity pattern in the focal plane, the use of step-by-step optimization in combination with the Levenberg–Marquardt algorithm yields good results only with an initial approximation close to the solution. …”
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