Assessment of performance metrics for fusion network by Rohan Gupta, Gurpreet Singh, Amanpreet Kaur

“…From the outcome it has been verified that the designed technique is finest in contrast to other alternatives of particle swarm optimization and ant colony optimization Routing overheads of the designed algorithm are reduced in contrast to other methods.…”
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Evaluation of Water Resources Carrying Capacity in Heilongjiang Province Based on PSO-SVM Model by WANG Tao, LI Zhijun

“…The problem of water resources has triggered a global crisis.With the rapid development of the social economy,the rapid increase in population,and the acceleration of modernization and urbanization,the demand for water in various industries is gradually increasing,and the problems of water shortage and water waste are becoming serious.Heilongjiang Province is an important industrial base and a major grain-producing province in China.With the rapid development of the economy and society,the contradiction between the supply and demand of water resources has become increasingly prominent.Although many measures have been taken to protect water resources in Heilongjiang Province,the development and utilization situation of water resources is still severe.In view of the above problems,this paper established a support vector machine (SVM) model optimized by particle swarm optimization (PSO) algorithm to evaluate the water resources carrying capacity in Heilongjiang Province.Based on the actual situation of Heilongjiang Province,an evaluation index system and index grading standards were established to evaluate the water resources carrying capacity of 13 cities in Heilongjiang Province in 2020.It thus provides a reference for the development and utilization of water resources in the future and plays a certain role in the application and promotion of SVM in water resources.The PSO-SVM model complements the theory of multi-factor comprehensive evaluation.…”
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Three-Dimensional Path Planning Optimization for Length Reduction of Optimal Path Applied to Robotic Systems by Ilias Chouridis, Gabriel Mansour, Apostolos Tsagaris

“…Over the years, several algorithms have been proposed to solve it, but weaknesses are constantly identified by researchers, especially in creating an optimal path in a three-dimensional (3D) environment with obstacles. …”
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Numerical analysis of pressure-dependent characteristics of gas diffusion coefficient based on a bidisperse diffusion model by Xiaojun FENG, Shishi DENG, Quanlin LIU, Enyuan WANG

“…By introducing the pressure-dependent diffusion coefficient, a pressure-dependent bidisperse diffusion model (EPBDM) was established, and particle swarm optimization algorithm was combined. The pressure-dependent diffusion coefficients of large and small holes are inverted; the pressure-dependent characteristics and spatio-temporal evolution of the diffusion coefficients are analyzed through numerical simulation and comparison with the model. …”
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GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications by Jialing Yan, Gang Hu, Heming Jia, Abdelazim G. Hussien, Laith Abualigah

“…To this end, we propose a particle swarm optimization algorithm with multiple swarm strategies (GPSOM) that significantly improves the algorithm’s optimization performance by designing grouping and diversification strategies for the population. …”
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Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning by Zihao Wang, Zhiwei Zhang, Wenying Dou, Guangpeng Hu, Lifu Zhang, Meng Zhang

“…Multi-agent pathfinding has been extensively studied by the robotics and artificial intelligence communities. …”
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On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization by Martins Akugbe Arasomwan, Aderemi Oluyinka Adewumi

“…Linear decreasing inertia weight (LDIW) strategy was introduced to improve on the performance of the original particle swarm optimization (PSO). However, linear decreasing inertia weight PSO (LDIW-PSO) algorithm is known to have the shortcoming of premature convergence in solving complex (multipeak) optimization problems due to lack of enough momentum for particles to do exploitation as the algorithm approaches its terminal point. …”
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Optimizing Unmanned Vehicle Navigation: A Hybrid PSO-GWO Algorithm for Efficient Route Planning by Gökhan Altun, İlhan Aydın

“…This study aims to address the route-planning problem for autonomous systems, which plays a significant role in the operation of unmanned vehicles. A hybrid algorithm has been proposed to enhance the performance of metaheuristic algorithm approaches used to solve the specified problem. …”
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Robot welding trajectory optimization based on intersecting line welds by FAN Chenhui, LIU Huan, LIU Xuan, TANG Xiang

“…To this end, a trajectory planning method based on the improved particle swarm algorithm was proposed.MethodsFirstly, an acceleration continuity constraint method based on smooth paths was proposed so that the velocity, acceleration and jerk of each joint of the robot were bounded and continuous. …”
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Research on Offshore Vessel Trajectory Prediction Based on PSO-CNN-RGRU-Attention by Wei Liu, Yu Cao

“…This study utilizes real Automatic Identification System (AIS) data and applies the PSO algorithm to optimize the model and determine the optimal parameters, using a sliding window method for input and output prediction. …”
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GPTOR: Gridded GA and PSO-based task offloading and ordering in IoT-edge-cloud computing by Arezou Mahmoudi, Leili Farzinvash, Javid Taheri

“…Various offloading algorithms have been proposed for these systems, each with its own advantages and disadvantages. …”
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Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU by Jian Lv, Binhao Huang, Ligang Qiang

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Using Artificial Intelligence Techniques for Image Compression by Baydaa Khaleel

“…Traditional clustering algorithm k-means and AITs were used, such as Gath-Geva fuzzy clustering algorithm, and Particle Swarm Optimization Technique(PSO), and combined Gath-Geva with backpropagation neural network to produce a new method which is called Fuzzy BackPropagation Network (FBPN) algorithm, by applying these methods on gray level and color images and then applying compression algorithm RLE on it to obtain compressed image. …”
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Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution by Prabha Umapathy, C. Venkataseshaiah, M. Senthil Arumugam

“…Three different inertia weights, a constant inertia weight (CIW), a time-varying inertia weight (TVIW), and global-local best inertia weight (GLbestIW), are considered with the particle swarm optimization algorithm to analyze the impact of inertia weight on the performance of PSO algorithm. …”
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Solving Bilevel Multiobjective Programming Problem by Elite Quantum Behaved Particle Swarm Optimization by Tao Zhang, Tiesong Hu, Jia-wei Chen, Zhongping Wan, Xuning Guo

“…An elite quantum behaved particle swarm optimization (EQPSO) algorithm is proposed, in which an elite strategy is exerted for the global best particle to prevent premature convergence of the swarm. …”
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Path Planning for a UAV Swarm Using Formation Teaching-Learning-Based Optimization by Hoang Van Truong, Phung Manh Duong

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Particle Swarm Optimization on Parallel Computers for Improving the Performance of a Gait Recognition System by Shahla A. Abdulqader, Hasmek A. Krekorian

“…In recent years, the gait recognition (GR) using particle swarm optimization (PSO) algorithm (OSO) has been execute very fast and accurate with single computer, but with the appearance of parallel computing (PC), it was necessary to use this technique to improve the results of GR. …”
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Dynamics and Chaos Intensity Analysis of Under-Actuated Mechanism by Uniformity and Particle Swarm Optimization by Hui Li, Yang Shu, Yongping Gu, Wuye Xiang, Feng Zhang

“…Finally, based on uniformity, the particle swarm optimization algorithm successfully achieves the suppression and enhancement of the chaos intensity of the closed-chain under-actuated five-bar mechanism by optimizing its linkage length and driving speed, and the results are verified by the experimental platform.…”
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Optimization of Energy Systems in a Distribution Micro grid: An Application of the Particle Swarm Optimization by Waleed Khalid Al-Azzawi, Ahmed Kateb Jumaah Al-Nussairi, Hussein Riyadh Taresh, Zainab R. Abdulsada, Kadhum Al-Majdi, Ali H. A, Julayeva Zhazira

“…The advantages of the proposed algorithm have been demonstrated through numerical studies and comparisons, which showed a reduction in operational expenses, carbon dioxide emissions, and fuel consumption during both summer and winter seasons. …”
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HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION by Syaiful Anam, M. Rafael Andika Putra, Zuraidah Fitriah, Indah Yanti, Noor Hidayat, Dwi Mifta Mahanani

“…Parameter selection of SVM is normally done by trial and error so that the performance is less than optimal. Some optimization algorithms based heuristic optimization can be used to determine the best parameter values of SVM, for example Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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