Perturbation-Based Nulling Control Beamforming With Measured Element Radiation Patterns for MU-mMIMO by Yuanzhe Gong, Arish Yaseen, Tingrui Zhang, Robert Morawski, Tho Le-Ngoc

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Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting by Dhivagar Shanmugam, V Ramana

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A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system by Geetanjali Dei, Deepak Kumar Gupta, Binod Kumar Sahu, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

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Research on the evolution and prediction of the heights of water-conducting fracture zones in overlying rocks during layered mining of extremely thick coal seams by MENG Hailun, CHENG Xianggang, QIAO Wei

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Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system by Khaled Fettah, Ahmed Salhi, Talal Guia, Abdelaziz Salah Saidi, Abir Betka, Madjid Teguar, Hisham Alharbi, Sherif S. M. Ghoneim, Takele Ferede Agajie, Ramy N. R. Ghaly

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Methods for state of health estimation for lithium-ion batteries: An essential review by Rhdifa Houda, Ammar Abderazzak, Bouattane Omar

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QoE Guarantee Scheme Based on Cooperative Cognitive Cloud and Opportunistic Weight Particle Swarm by Weihang Shi

“…Finally, the QoE guarantee scheme was proposed with the opportunity weight particle swarm optimization algorithm and collaborative cognitive cloud platform. …”
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Design and Implementation of Group Animation Based on Multimedia Intelligent Algorithm by Qing Li

“…In order to improve the autonomy and intelligence of group animation behavior, this paper proposes a particle swarm optimization algorithm for automatic control of group animation behavior. …”
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Path Planning Method for UUV Homing and Docking in Movement Disorders Environment by Zheping Yan, Chao Deng, Dongnan Chi, Tao Chen, Shuping Hou

“…Finally, the test function is introduced to analyze the performance of NPSO and compare with basic particle swarm optimization (BPSO), inertia weight particle swarm optimization (LWPSO, EPSO), and time-varying acceleration coefficient (TVAC). …”
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Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization by Haijun Liang, Jing Guo

“…The results show that compared with the traditional genetic algorithm, the accuracy of the improved particle swarm optimization algorithm is improved by 10.36%. …”
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A Modified NM-PSO Method for Parameter Estimation Problems of Models by An Liu, Erwie Zahara, Ming-Ta Yang

“…This paper proposes a modified hybrid Nelder-Mead simplex search and particle swarm optimization (M-NM-PSO) method for solving parameter estimation problems. …”
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OPTIMIZING THE PLACEMENT OF A WORK-PIECE AT A MULTI-POSITION ROTARY TABLE OF TRANSFER MACHINE WITH VERTICAL MULTI-SPINDLE HEAD by N. N. Guschinski, V. E. Zdanovich, B. M. Rozin

“…To solve this problem the mathematical model and heuristic particle swarm optimization algorithm are proposed. The results of numerical experiments for two real problems of this type are given. …”
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Swarm intelligence–based energy efficient clustering with multihop routing protocol for sustainable wireless sensor networks by Mohamed Elhoseny, R Sundar Rajan, Mohammad Hammoudeh, K Shankar, Omar Aldabbas

“…Initially, improved particle swarm optimization technique is applied for choosing the cluster heads and organizes the clusters proficiently. …”
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A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm by Yisong Zheng, Xiuguo Zhang, Zijing Shang, Siyu Guo, Yiquan Du

“…Compared with other evolutionary algorithms, the improved cultural particle swarm optimization algorithm has better global convergence. …”
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Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm by Mengying Sun

“…In order to improve the effect of accounting quantity and quality evaluation, this article improves the particle swarm optimization algorithm. It improves the particle swarm optimization algorithm from the three aspects—extreme value selection, particle diversity, and inertia weight, and establishes an optimization algorithm suitable for solving the accounting data audit optimization problem. …”
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Intelligent clustering using moth flame optimizer for vehicular ad hoc networks by Atif Ishtiaq, Sheeraz Ahmed, Muhammad Fahad Khan, Farhan Aadil, Muazzam Maqsood, Salabat Khan

“…Intelligent clustering using moth flame optimization is then proved by relative study with two variants of particle swarm optimization: multiple-objective particle swarm optimization and comprehensive learning particle swarm optimization and a variant of ant colony optimization: ant colony optimization–based clustering algorithm for vehicular ad hoc network. …”
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Unit commitment in microgrid systems using artificial intelligence techniques by Barnabas I. Gwaivangmin, Ganiyu A. Bakare, Ya’U S. Haruna, Abdullahi L. Amoo

“…The study compared three techniques: particle swarm optimization (PSO), Enhanced hybrid particle swarm optimization–ant colony optimization (E-HPSO–ACO), and Enhanced hybrid particle swarm optimization–simulated annealing (E-HPSO–SA). …”
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Multiobjective Synthesis of Linear Arrays by Using an Improved Genetic Algorithm by Bo Yang

“…The proposed method is compared with real number particle swarm optimization (RNPSO) and quantized particle swarm optimization (QPSO) as applied in the pattern synthesis of a linear thinned array and a digital phased array. …”
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Cement Transport Vehicle Routing with a Hybrid Sine Cosine Optimization Algorithm by Vu Hong Son Pham, Van Nam Nguyen

“…To demonstrate the advantages of the developed hybrid sine cosine algorithm, this algorithm is evaluated and compared with modern algorithms such as sine cosine algorithm, dragonfly algorithm, grey wolf optimizer, ant lion optimizer, particle swarm optimization, modified hybrid particle swarm optimization, genetic algorithm, and the double-population genetic algorithm in case studies. …”
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Prediction and Analysis of Slope Stability Based on IPSO-SVM Machine Learning Model by Yu Wang, Erxia Du, Sanqiang Yang, Li Yu

“…Considering the above characteristics, this study proposes an improved particle swarm optimization of support vector machine (IPSO-SVM) algorithm model, which combines optimized particle swarm optimization (IPSO) and support vector machine (SVM) and applies it to slope stability prediction. …”
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