Multi-objective particle swarm optimization algorithm for task allocation and archived guided mutation strategies by Jianjie Chen, Yanmin Liu, Yi Luo, Aijia Ouyang, Jie Yang, Wuer Bai

“…Abstract In this paper, we propose a novel multi-objective particle swarm optimization algorithm with a task allocation and archive-guided mutation strategy (TAMOPSO), which effectively solves the problem of inefficient search in traditional algorithms by assigning different evolutionary tasks to particles with different characteristics. …”
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An Optimized Dynamic Scene Change Detection Algorithm for H.264/AVC Encoded Video Sequences by Giorgio Rascioni, Susanna Spinsante, Ennio Gambi

“…This paper deals with the design and performance evaluation of a dynamic scene change detector optimized for H.264/AVC encoded video sequences. …”
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Denoising of Inflow of Pingzhai Reservoir Based on Fusion Algorithm of Wavelet Transform and Savitzky-Golay Filter by GAO Lin, SONG Jinwei, LI Zuoxiao

“…In response to abnormal fluctuations of water flow in the shape of a "sawtooth" in the reverse inference of water balance, a wavelet transform Savitzky-Golay filter fusion algorithm was proposed. The algorithm first performed wavelet decomposition and threshold denoising preprocessing on the research data by setting different parameter combinations. …”
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Denoising of Inflow of Pingzhai Reservoir Based on Fusion Algorithm of Wavelet Transform and Savitzky-Golay Filter by GAO Lin, SONG Jinwei, LI Zuoxiao

“…In response to abnormal fluctuations of water flow in the shape of a "sawtooth" in the reverse inference of water balance, a wavelet transform Savitzky-Golay filter fusion algorithm was proposed. The algorithm first performed wavelet decomposition and threshold denoising preprocessing on the research data by setting different parameter combinations. …”
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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

“…Experimental results show that the proposed model can detect intrusions using different ML algorithms with high accuracy. The results of the proposed model for different ML algorithms outperform the state-of-the-art algorithms, and the maximum enhancement reached 15% in the accuracy metric.…”
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Quality of Service Routing in Manet Using a Hybrid Intelligent Algorithm Inspired by Cuckoo Search by S. Rajalakshmi, R. Maguteeswaran

“…A hybrid computational intelligent algorithm is proposed by integrating the salient features of two different heuristic techniques to solve a multiconstrained Quality of Service Routing (QoSR) problem in Mobile Ad Hoc Networks (MANETs) is presented. …”
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M-Race: A Racing Algorithm for the Tuning of Meta-Heuristics Based on Multiple Performance Objectives by Christoff Jordaan, Andries Engelbrecht, Kian Anderson

“…The result of the tuning algorithm presents the experimenter with multiple values for control parameters, each representing different trade-offs between the various objectives. …”
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River Contour Recognition and Extraction Algorithm Based on Kirsch Operator and Multi-level Threshold Segmentation by ZHOU Shaojun, SHE Hailong

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An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks by Tushar Kanta Samal, Sushree Chinmayee Patra, Manas Ranjan Kabat

“…The set of relay nodes obtained by our proposed adaptive cuckoo search algorithm compared with cuckoo search as well as other state of the art algorithms via simulation results. …”
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Research on the prediction algorithm of tread wear for locomotive wheels based on GA-ridge regression analysis by FANG Xin, LIU Tong, CHENG Yaping, SUN Yuduo, WANG Feier

“…To this end, this paper proposed a prediction algorithm of tread wear for locomotive wheels based on GA-ridge regression analysis (hereinafter referred to as the "GA-ridge regression” prediction algorithm). …”
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Miniaturized NIRS Coupled with Machine Learning Algorithm for Noninvasively Quantifying Gluten Quality in Wheat Flour by Yuling Wang, Chen Zhang, Xinhua Li, Longzhu Xing, Mengchao Lv, Hongju He, Leiqing Pan, Xingqi Ou

“…Five different algorithms were employed to mine the relationship between the full-range spectra (900–1700 nm) and three parameters, with support vector regression (SVR) demonstrating the best prediction performance for all gluten parameters (R_P = 0.9370–0.9430, RMSEP = 0.3450–0.4043%, and RPD = 3.1348–3.4998). …”
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Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm by Hui Dong

“…The system has reasonable recognition ability for general speech, and the improved particle filter algorithm evaluation method is further used to optimize the defect of the English speech rationality and high recognition error rate Related experiments have verified the effectiveness of the method.…”
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An Adaptive Aggregation Scheduling Algorithm Based on the Grid Partition in Large-Scale Wireless Sensor Networks by Xiaogang Qi, Lifang Liu, Gengzhong Zheng, Mande Xie

“…Data aggregation algorithm aims to reduce the redundant information by gathering the sensed data, save energy, and prolong the lifetime of the network. …”
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Design and Development of a Genetic Algorithm Based on Fuzzy Inference Systems for Personnel Assignment Problem by Peyman Rabiei, Daniel Arias-Aranda

“…Thirty-five candidates were evaluated and assigned to three different positions. …”
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An intelligent referee selection approach in martial arts using CoCoSo MCDM algorithm by Tao Zhang

“…The selection process for referees becomes problematic due to unclear evaluation methods, which include decision unpredictability, together with subjective assessment, and qualifications that differ from one another. …”
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Research on the Algorithm and Test of Transmission Line Voltage Measurement Based on Electric Field Integral Method by Jingang Wang, Lu Gao

“…The measurement effects of different voltage measurement methods were compared and it was proposed to apply the Chebyshev piecewise integral algorithm to the voltage measurement system of the transmission line. …”
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Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting by Tiyasha Tiyasha, Chijioke Elijah Onu, Mohamed A. Ismail, Rama Rao Karri, Abdelfattah Amari, Vinay Kumar, Suraj Kumar Bhagat

“…Hyperparameter tuning via differential evolution (DE), genetic algorithm (GA), random search (RS), and grid search (GS) with the XGBoost model was conducted to achieve more accurate results. …”
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A High-accuracy Alignment Approach for Solar Images of Different Wavelengths by Yun Wang, Kaifan Ji, Zhenyu Jin, Hui Liu

“…Image alignment plays a crucial role in solar physics research, primarily involving translation, rotation, and scaling. The different wavelength images of the chromosphere and transition region have structural complexity and differences in similarity, which poses a challenge to their alignment. …”
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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

“…Then, relying on a case study, the validity of the augmented data and the performance of the developed OPSO-SVM algorithms based on two different sample sizes are studied. …”
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A systematic review of reinforcement learning-based control for microgrids: trends, challenges, and emerging algorithms by A. V. Waghmare, V. P. Singh, T. Varshney, P. Sanjeevikumar

“…Emerging algorithms for microgrid control are also discussed thoroughly. …”
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