Evaluation of the impact of the distance determination function on the results of optimization of the geographical placement of renewable energy sources-based generation using a... by Andrei M. Bramm, Stanislav A. Eroshenko

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Optimisation of engineering system using a novel search algorithm: the Spacing Multi-Objective Genetic Algorithm by L. Falahiazar, H. Shah-Hosseini

“…Then, the results are compared with other algorithms such as NSGAII, Adaptive Weighted Particle Swarm Optimisation (AWPSO), and Non-dominated Sorting Particle Swarm Optimiser (NSPSO) based on the test metrics: Hypervolume, Spacing, Spread, and Generational Distance. …”
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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

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Coordination in strictly metric-free swarms: evidence for the existence of biological diversity by Y. N. Jia, Y. Guo, W. L. Zhang

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Research on Particle Swarm Optimization-Based UAV Path Planning Technology in Urban Airspace by Qing Cheng, Zhengyuan Zhang, Yunfei Du, Yandong Li

“…In this study, an improved particle swarm optimization algorithm (LGPSO) is proposed to address these problems. …”
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A physically based constitutive model for 41CrS4 steel based on particle swarm optimization algorithm by Xiaoxiao Wei, Fan Tan, Peipei Yang, Hongchen Pan

“…Utilizing the Gleeble-3500 thermal simulation apparatus, a thermal compression assay was performed on 41CrS4 steel within the temperature range of 900 °C to 1200 °C, featuring a strain rate of 0.01 to 5 s ^−1 , to derive its flow stress curve. The evaluation of the Arrhenius equation parameters was adeptly carried out by deploying a sophisticated particle swarm optimization algorithm. …”
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An Efficient Multisensor Hybrid Data Fusion Approach Based on Artificial Neural Networks and Particle Swarm Optimization Algorithms by Luc Eyembe Ihonock, Jean-François Dikoundou Essiben, Benjamin Salomon Diboma, Joe Suk Yong

“…The preprocessing stage of data is also included in the suggested technique, which starts with the design of the data-collecting device and ends with a hybrid model algorithm. Particle swarm optimization and artificial neural network methods are combined in the hybrid algorithm. …”
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Research on Early Diagnosis Methods for Broiler Chicken Diseases Based on Swarm Intelligence Optimization Algorithms and Random Forest by X Peng, C Chen, L Yu, X Kong, B Sun

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Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions by Mohd Nasrul Izzani Jamaludin, Mohammad Faridun Naim Tajuddin, Tarek Younis, Sudhakar Babu Thanikanti, Mohammad Khishe

“…This paper proposes a hybrid MPPT algorithm that combines the benefits of the salp swarm algorithm (SSA) and hill climbing (HC) techniques. …”
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Ultra-Broadband, Fabrication Tolerant Optical Coupler for Arbitrary Splitting Ratio Using Particle Swarm Optimization Algorithm by Lemeng Leng, Minfeng Jin, Zhongzhi Lin, Chenbin Zhang, Ding Ding, Wei Jiang

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WSN clustering routing algorithm based on PSO optimized fuzzy C-means by Aijing SUN, Shichang LI, Yicai ZHANG

“…Aimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed.POFCA was respectively optimized from the cluster stage and the data transmission stage.In the clustering stage, the particle swarm optimization fuzzy C-means was firstly used to overcome the sensitivity to the initial clustering center.And the cluster head was dynamically updated according to the remaining power and the relative distance of the nodes to balance the network load.Then in the data transfer phase, a path evaluation function was designed based on the distance factor, the energy factor and the nodal load.Besides, the cat swarm optimization was used to search the optimal routing path for the cluster head to balance the load of the cluster head without increasing the load of the relay node.The simulation result shows that compared with algorithms of LEACH and LEACH-improved, POFCA can effectively balance the network load, reduce the energy consumption of nodes and extend the lifetime of the entire network.…”
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Comparative Evaluation of Reinforcement Learning Algorithms for Multi-Agent Unmanned Aerial Vehicle Path Planning in 2D and 3D Environments by Mirza Aqib Ali, Adnan Maqsood, Usama Athar, Hasan Raza Khanzada

“…This work comprehensively evaluates reinforcement learning (RL) algorithms for multi-agent UAV path planning in 2D and 3D simulated environments. …”
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Particle Swarm Optimization-Based Content Delivery Protocol for UAV VAENTs by Yongje Shin, Hyun-Seok Choi, Youngju Nam, Euisin Lee

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Identification and Evaluation of Profitable Technical Trading Rules in the Cryptocurrency Market: A Mixed Method Approach by Milad Abbasi, Somayeh Al-sadat Mousavi, Abbasali Jafari Nodoushan

“…In the quantitative phase, the selected trading rules are implemented for a certain period and the parameters of the indicators are optimized using the grid search and particle swarm optimization (PSO) algorithm. Finally, the performance of the trading strategies selected by the experts and optimized using metaheuristic algorithms is evaluated and compared. …”
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An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure by Ali Solak, Altan Onat, Onur Kilinc

“…Particle Swarm Optimization (PSO) stands out as a pioneering algorithm in this domain. …”
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S-EPSO: A Socio-Emotional Particle Swarm Optimization Algorithm for Multimodal Search in Low-Dimensional Engineering Applications by Raynald Guilbault

“…It outperformed the reference algorithms 14 times, whereas the best of the latter outperformed the other two 10 times out of 30 relevant evaluations. …”
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Incorporating echo state network and sand cat swarm optimization algorithm based on quantum for named entity recognition by Fang Huang, Baocheng Wang, Jafar Safarzadeh

“…Various assessment metrics, such as recall, precision, F1-score, MCC, and Cohen’s Kappa, were used to evaluate the effectiveness of BiLSTM-MultiBERT6L, BiLSTM-CNNs-CRF, Bi-directional LSTM-CNNs, BiLSTM-ELMo, BERT, and the proposed ESN/quantum-based sand cat swarm optimization algorithm. …”
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Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model by Heng Cao, Qianhui Gao

“…The specific summary is as follows: (1) Introduced the design concept of particle swarm optimization teaching evaluation system. (2) The use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values, the highest and the lowest, greatly reduces the difficulty of program parameter adjustment. (4) In terms of operation, it can quickly and efficiently complete the maintenance of teacher teaching information, evaluation relationship management of teacher teaching quality evaluation, evaluation content management, student evaluation, supervision evaluation, college leadership evaluation, evaluation performance management, and other operations. …”
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Hybridization of the Snake Optimizer and Particle Swarm Optimization for continuous optimization problems by Abdülkadir Pektaş, Mehmet Hacıbeyoğlu, Onur İnan

“…To evaluate the applicability of the proposed SO-PSO method, it was evaluated on continuous numerical problems (CEC-2017) and seven real-world engineering problems, benchmarking its performance against contemporary metaheuristic algorithms, including WOA, PSO, GWO, EO, LSHADE, and SO. …”
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Multi-Objective Evolution and Swarm-Integrated Optimization of Manufacturing Processes in Simulation-Based Environments by Panagiotis D. Paraschos, Georgios Papadopoulos, Dimitrios E. Koulouriotis

“…To this end, the proposed approach couples the JaamSim-based digital twins with evolutionary and swarm-based algorithms to carry out the multi-objective optimization under varying conditions. …”
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