Nonlinear Friction and Dynamical Identification for a Robot Manipulator with Improved Cuckoo Search Algorithm by Li Ding, Xingcheng Li, Qilin Li, Yuan Chao

“…The results show that (1) the proposed algorithm has higher identification accuracy over the cuckoo search algorithm or particle swarm optimization algorithm and (2) compared to linear friction model the nonlinear model can describe the friction characteristic of joints better.…”
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A Fast Algorithm of Generalized Radon-Fourier Transform for Weak Maneuvering Target Detection by Weijie Xia, Ying Zhou, Xue Jin, Jianjiang Zhou

“…The BSSL learning-based particle swarm optimization (BPSO) has been proposed before to reduce the computational burden of GRFT and solve the BSSL problem simultaneously. …”
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Evaluation of genetic algorithm alternatives for wind speed modeling using grey relational analysis by Hilmi Işık, Muhammet Burak Kılıç

“…The best GA alternative is also compared to particle swarm optimization based on maximum likelihood estimation and provides satisfactory results based on R2, RMSE, and PDE. …”
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Design of Fully Digital Controlled Shaped Beam Synthesis Using Differential Evolution Algorithm by D. Mandal, A. Chatterjee, A. K. Bhattacharjee

“…The optimum 4-bit amplitudes generated by four-bit digital attenuators and 5-bit phases generated by 5-bit digital phase shifters are computed using Differential Evolution (DE) Algorithm. To illustrate the effectiveness of DE, the two beam patterns with specified characteristics are computed from the same array using Particle Swarm Optimization (PSO) algorithm and Genetic algorithm (GA) by finding out optimum discrete excitations among the elements. …”
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou, Umesh Kumar Lilhore, Poongodi M, Tao Hai, Sarita Simaiya, Dayang Norhayati Abang Jawawi, Deema Mohammed Alsekait, Sachin Ahuja, Cresantus Biamba, Mounir Hamdi

“…The simulation results show the performance of various Meta-heuristic Load balancing methods, based on performance factors. The Particle swarm optimization method performs better in improving makespan, flow time, throughput time, response time, and degree of imbalance.…”
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High Precision and Fast Inversion of Array Lateral Logging Based on BAS-LM Algorithm by NI Xiaowei, HUAN Zhipeng, XU Sihui, ZHAO Zhaoxia, CHEN Zhanglong, CHEN Jisheng

“…Based on the Oklahoma classic reservoir model, the Particle Swarm Optimization (PSO) algorithm, the Genetic Algorithm (GA), BAS algorithm, LM algorithm, and BAS-LM algorithm are used to perform the inversion of the reservoir layer resistivity, intrusion zone radius, and intrusion zone resistivity (three parameters) and compare and verify the results. …”
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Economic energy optimization in microgrid with PV/wind/battery integrated wireless electric vehicle battery charging system using improved Harris Hawk Optimization by Perne Mallikarjun, Sundar Rajan Giri Thulasiraman, Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri

“…Three distinct wireless EV charging load profiles are considered to evaluate the performance of the proposed optimization technique. Simulation results demonstrate that the IHHO algorithm achieves significant cost reductions and improves energy utilization efficiency compared to other state-of-the-art optimization algorithms such as Improved Quantum Particle Swarm Optimization (IQPSO), Honeybee Mating Optimization (HBMO), and Enhanced Exploratory Whale Optimization Algorithm (EEWOA). …”
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Expert-based sustainable investment strategies for SMEs with hybrid molecular fuzzy learning algorithms by Anisah Firli, Dadan Rahadian, Hasan Dinçer, Serhat Yüksel, Deannes Isyuwardhana, Cahyaningsih, Putri Fariska

“…Finally, molecular fuzzy multi-objective particle swarm optimization technique is considered to prioritize sustainable investment strategies for SMEs. …”
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A Talent Cultivation and Performance Evaluation Model Based on a Fuzzy Control Algorithm by Shanshan Jiang

“…The algorithm combines an adaptive neuro-Fuzzy Inference System with Adaptive Hybrid Particle Swarm Optimization. …”
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Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms by Hasan Alkahtani, Theyazn H. H. Aldhyani

“…The complexity of the network dataset was dimensionality reduced, and to improve the proposed system, the particle swarm optimization method (PSO) was used to select relevant features from the network dataset. …”
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Application of Machine Learning Algorithms to Predict Gas Sorption Capacity in Heterogeneous Porous Material by Tasbiha Ibad, Syed Muhammad Ibad, Haylay Tsegab, Rabeea Jaffari

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Two-Dimensional Steady-State Boundary Shape Inversion of CGM-SPSO Algorithm on Temperature Information by Shoubin Wang, Huangchao Jia, Xiaogang Sun, Li Zhang

“…Addressing the problem of two-dimensional steady-state thermal boundary recognition, a hybrid algorithm of conjugate gradient method and social particle swarm optimization (CGM-SPSO) algorithm is proposed. …”
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Research on Efficiency of Hybrid Power System and Optimization of Control Strategy by Hongyu Zhu, Peng Hao, Guozhi Liu, Wei Xu, Haisheng Xu

“…In order to improve the fuel economy of the power diffluence hybrid vehicle，a physical model of the hybrid system and a system control model are established. The PSO （Particle swarm optimization） with optimized initial value is used to optimize the hybrid power system efficiency. …”
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Optimization for Si Nano-Pillar-Based Broadband Achromatic Metalens by Zhaohui Li, Yihao Lv

“…An innovative optimization algorithm, named the hybrid particle swarm and genetic algorithm (PSO_GA), is proposed for designing broadband achromatic metalenses. …”
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Structure design and optimization of jumping mechanisms based on velocity manipulability by LI Chenjiarui, HOU Yu, SUN Wei, XU Yantao, WANG Zhongxuan

“…The concept of velocity manipulability was introduced as a metric to assess the speed transfer performance of the mechanism, and a particle swarm optimization algorithm was employed for the mechanism optimization.ResultsThe results show that the optimized mechanism exhibits a 21.76% increase in the jumping velocity compared to its pre-optimized state. …”
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Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation by Qian Li, Sha Tao, Heap-Yih Chong, Zhijie Sasha Dong

“…To solve the problem efficiently, a double-layer metaheuristic comprised of Multiple Objective Particle Swarm Optimization (MOPSO) and interior point method named MOPSO-interior point algorithm is designed. …”
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Analysis and Optimization of Interpolation Points for Quadruped Robots Joint Trajectory by Mingfang Chen, Kaixiang Zhang, Sen Wang, Fei Liu, Jinxin Liu, Yongxia Zhang

“…An evaluation function was established to assess the closeness degree between the actual trajectory and the original curve. Subsequently, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) for the points selection are used to obtain a more precise trajectory. …”
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Design and Optimization of a Millimetre Wave Compact Folded Magic-T by Guang Hua, Jiefu Zhang, Jiudong Wu, Wei Hong

“…A millimetre wave-folded magic-T junction compensated with metal cone is designed using a particle swarm optimization (PSO) algorithm. An off-centred metallic frustum was used to enhance the bandwidth and a metallic post is used to compensate the mismatched E-arm. …”
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Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO by Rongfu Luo, Zenghui Wang, Yanxia Sun

“…Therefore, this paper is to use the particle swarm optimization (PSO) algorithm to optimize the PI parameters of PLL and speed-loop of Luenberger observer of the system. …”
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An evolutionary algorithm‐based classification method for high‐dimensional imbalanced mixed data with missing information by Yi Liu, Gengsong Li, Qibin Zheng, Guoli Yang, Kun Liu, Wei Qin

“…Quantum oversampling chooses instances to balance data based on the quantum operator. Furthermore, particle swarm optimization is employed to optimize the parameters of the components to obtain preferable classification results. …”
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