Detecting Floating-Point Expression Errors Based Improved PSO Algorithm by Hongru Yang, Jinchen Xu, Jiangwei Hao, Zuoyan Zhang, Bei Zhou

“…This paper proposes characteristic particle swarm optimization (CPSO) algorithm based on particle swarm optimization (PSO) algorithm. …”
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Improving Earth surface temperature forecasting through the optimization of deep learning hyper-parameters using Barnacles Mating Optimizer by Zuriani Mustaffa, Mohd Herwan Sulaiman, Muhammad ‘Arif Mohamad

“…The forecasting model is trained on a global temperature dataset with seven inputs and compared with DL models optimized by Particle Swarm Optimization (PSO), Harmony Search Algorithm (HSA), and Ant Colony Optimization (ACO). …”
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A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm by Wenping Zou, Yunlong Zhu, Hanning Chen, Xin Sui

“…In this work, first the CABC algorithm is used for optimizing six widely used benchmark functions and the comparative results produced by ABC, Particle Swarm Optimization (PSO), and its cooperative version (CPSO) are studied. …”
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Optimal sizing and siting of energy storage systems based on power grid vulnerability analysis: a trilevel optimization model by Zhenghui Zhao, Yingying Shang, Buyang Qi, Yang Wang, Qian Zhang

“…The middle-level employs an improved particle swarm optimization algorithm to determine the optimal capacity and power configuration of BESS, aiming to maximize its equivalent annual revenue. …”
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Photovoltaic Global Maximum Power Tracking Based on Improved Dragonfly Algorithm by Fei XUE, Xin MA, Bei TIAN, Hui WU

“…Finally, comparisons with the P & O algorithm, particle swarm optimization (PSO) algorithm, and the original DA through simulation verify the validity of the proposed algorithm.…”
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Adaptive Differential Evolution Algorithm for Forward Position Solution of Parallel Mechanism by Yi Jian

“…Furthermore,the ADE algorithm is compared with basic DE,the adaptive mutation particle swarm optimization,and improved artificial bee colony algorithms,and it is verified that the former outperforms the compared algorithms in term of convergence precision and calculated robustness.…”
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Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art by Sotirios K. Goudos, Christos Kalialakis, Raj Mittra

“…In this paper, our primary focus is on Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), and Differential Evolution (DE), though we also briefly review other recently introduced nature-inspired algorithms. …”
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Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

“…To address this, we propose an auto-evolution hyper-heuristic algorithm named AE-GAPB. AE-GAPB integrates a genetic algorithm (GA) at the high-level component and employs particle swarm optimization (PSO) and the bat algorithm (BA) at the low-level component. …”
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Improved DV-Hop Node Localization Algorithm in Wireless Sensor Networks by Xiao Chen, Benliang Zhang

“…Finally, we use the particle swarm optimization to correct the position estimated by the 2D hyperbolic localization algorithm, which makes the result closer to the actual position. …”
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Improvement and Optimization of Thin Dipole for UWB Applications by Duygu Nazan GençoÄlan, Åule Ãolak

“…Additionally, two optimization techniques, Genetic Algorithm and Particle Swarm Optimization are applied to obtain the best dipole radius. …”
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Sensitivity Analysis of a CPAM Inverse Algorithm for Composite Laminates Characterization by Farshid Masoumi, Ahmad Ghasemi Ghalebahman

“…An inverse method based on particle swarm optimization algorithm is further provided using MATLAB software. …”
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PSO–SOM Neural Network Algorithm for Series Arc Fault Detection by Na Qu, Jiatong Chen, Jiankai Zuo, Jinhai Liu

“…However, the classification accuracy of SOM neural network may decrease when the features of tested object are not obvious. In this paper, the particle swarm optimization (PSO) algorithm is used to optimize the weight values of SOM network. …”
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A RSSI-Based Distributed Weighted Search Localization Algorithm for WSNs by Yingbiao Yao, Qi Han, Xiaorong Xu, Nanlan Jiang

“…Compared with three state-of-art localization algorithms—namely, maximum likelihood estimation (MLE), edge-based second-order cone programming + nonconvex sequential greedy (ESOCP + NCSG), and particle swarm optimization (PSO)—the simulation results show that localization performance of the WSLA is superior to that of MLE, ESOCP + NCSG, and PSO.…”
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Precise wind allocation scheme decision based on attraction-repulsion algorithm by NI Jingfeng, CHEN Dunwei, LIU Yujiao

“…Performance test results showed that AROA had a significant advantage in comprehensive optimization performance compared to Genetic Algorithm (GA), Simulated Annealing-Improved Particle Swarm Optimization (SA-IPSO), and Monotonic Basin Hopping (MBH). …”
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Improved Grey Wolf Algorithm: A Method for UAV Path Planning by Xingyu Zhou, Guoqing Shi, Jiandong Zhang

“…Compared to Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), GWO, and MP–GWO algorithms, the NI–GWO algorithm can achieve the optimal fitness value and has significant advantages in terms of average path length, time, number of collisions, and obstacle avoidance capabilities.…”
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Energy-Aware Sink Node Localization Algorithm for Wireless Sensor Networks by Mohamed Mostafa Fouad, Vaclav Snasel, Aboul Ella Hassanien

“…This paper proposes a novel algorithm based on a Particle Swarm Optimization (PSO) approach for designing an energy-aware topology control protocol. …”
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Task Allocation and Saturation Attack Approach for Unmanned Underwater Vehicles by Qiangqiang Chen, Baisheng Liu, Changdong Yu, Mingkai Yang, Haonan Guo

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Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment by U.K. Jena, P.K. Das, M.R. Kabat

“…Load balancing has to be carried out in such a manner that all virtual machines (VM) should have balanced load to achieve optimal utilization of its capabilities. This paper proposes a novel methodology of dynamic balancing of load among the virtual machines using hybridization of modified Particle swarm optimization (MPSO) and improved Q-learning algorithm named as QMPSO. …”
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GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM by Nasir A. Al-Awad, Izz K. Abboud, Muaayed F. Al-Rawi

“…Then, in this paper, we current an active manipulate of the minimize order model of pantograph-catenary system .The proposed manipulate approach implements an optimization technique, like particle swarm (PSO), the usage of a frequent approximation of the catenary equal stiffness. …”
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Key Transmission Section Search Strategy Based on Improved Clustering Algorithm by Jie WANG, Ming DING, Lei SUN, Liubing WANG

“…In order to effectively avoid the occurrence of cascading failure due to the loss of faulted or overloaded lines, a key transmission section search method based on an improved fuzzy C-means clustering algorithm is proposed. Firstly, an improved particle swarm optimization algorithm is employed to update the clustering center, so that the problem that the clustering algorithm is sensitive to the initial clustering center can be solved. …”
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