Research on Energy-Saving Optimization Control Strategy for Distributed Hub Motor-Driven Vehicles by Bin Huang, Jinyu Wei, Minrui Ma, Xu Yang

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Development of an upper limb muscle strength rehabilitation assessment system using particle swarm optimisation by Chuangan Zhou, Siqi Wang, Meiyi Wu, Wei Lai, Junyu Yao, Xingyue Gou, Hui Ye, Jun Yi, Dong Cao

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A Review of Research on Path Planning of Unmanned Surface Vessel Swarm: Deep Reinforcement Learning by Yuli HOU, Ning WANG, Chidong QIU, Yongpeng WENG

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Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems by Martins Akugbe Arasomwan, Aderemi Oluyinka Adewumi

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Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control by Abroon Jamal Qazi, Clarence W. de Silva, Afzal Khan, Muhammad Tahir Khan

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EPICS: error-preserved and interpolation-corrected surrogate-assisted particle swarm optimization for complex optimization by Tongbang Jiang, Jeng-Shyang Pan, Shu-Chuan Chu, Chaoli Sun, Václav Snášel

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Optimizing Semantic-Aware Video Compression Using Particle Swarm Optimization Technique for Automotive Applications by Vadivel Shanmugam, B. Uma Maheswari

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Interpretability-Oriented Adjustment of K-Means: A Multiple-Objective Particle Swarm Optimization Framework by Liang Chen, Leming Sun, Caiming Zhong

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Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment by Liyuan Yang, Yongping Hao, Jiulong Xu, Meixuan Li

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Comparison of Different Heuristics Integrated with Neural Networks: A Case Study for Earthquake Damage Estimation by Ayşe Berika Varol Malkoçoğlu, Zeynep Orman, Rüya Şamlı

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A novel global MPPT method based on sooty tern optimization for photovoltaic systems under complex partial shading by Mohammed Taha Kaaitan, Rashid Ali Fayadh, Zuhair S. AL-sagar, Salam J. Yaqoob, Mohit Bajaj, Mebratu Sintie Geremew

“…Abstract As the deployment of photovoltaic (PV) systems continues to expand globally, the need for robust and highly efficient Maximum Power Point Tracking (MPPT) algorithms becomes increasingly critical, particularly under complex Partial Shading Conditions (PSC) where multiple local maxima can significantly reduce energy yield. …”
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Design and Analysis of a Hybrid MPPT Method for PV Systems Under Partial Shading Conditions by Oğuzhan Timur, Bayram Kaan Uzundağ

“…The classical Maximum Power Point Tracking (MPPT) algorithm fails to determine the global maximum operating point to prevent power losses under partial shading conditions. …”
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Reducing PAPR in NOMA Waveforms Using Genetic-Enhanced PTS and SLM: A Low-Complexity Approach for Improved throughput, power spectral density, and Power Efficiency by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…To overcome these issues, this paper introduces new Particle Swarm Optimization (PSO)-improved partial transmit sequence (PTS) and Selective Mapping (SLM) schemes that optimally choose phase factors with much lower search complexity. …”
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Optimisation Methods for Cold Chain Logistics Path Considering Carbon Emission Costs in Time-Varying Networks by Zeyu WANG, Fujian CHEN, Chengcheng MO

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A two-stage optimization model for relief logistics and distribution to disaster survivors under two-fold uncertainty by Palash Sahoo

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Optimizing capacitor size and placement in radial distribution networks for maximum efficiency by R. Arunjothi, K.P. Meena

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The Utilization of a Naïve Bayes Model for Predicting the Energy Consumption of Buildings by Behnam Sadaghat, Ali Javadzade Khiavi, Babak Naeim, Erfan Khajavi, Hadi Sadaghat, Amir Reza Taghavi Khanghah

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Study on Application of CYCBD based on PSO in Fault Feature Extraction of Rolling Bearing by Yutao Liu, Huer Sun

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Gearbox Fault Diagnosis Method Based on Improved Multi-scale Mean Permutation Entropy and Parameter Optimization SVM by Guo Panpan, Zhang Wenbin, Cui Ben, Xu Han

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Application of Three Neural Network Models in the Prediction ofStratospheric Wind Field by YUAN Junjie, LUO Rubin, LIAO Jun, YANG Zechuan, WANG Ning, LI Jun

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