Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm by Muhammad Haris, Haewoon Nam

“…Path planning is a crucial technology and challenge in various fields, including robotics, autonomous systems, and intelligent transportation systems. The Particle Swarm Optimization (PSO) algorithm is widely used for optimization problems due to its simplicity and efficiency. …”
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Forgetful Swarm Optimization for Astronomical Observation Scheduling by Nariman Nakhjiri, Maria Salamo, Miquel Sanchez-Marre, Christian Blum, Juan Carlos Morales

“…FSO combines local optimization, Destroy and Repair, and Swarm Intelligence methodologies to create a flexible and scalable global optimization algorithm to handle the challenges of AOS. …”
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Harmonic oscillator based particle swarm optimization. by Yury Chernyak, Ijaz Ahamed Mohammad, Nikolas Masnicak, Matej Pivoluska, Martin Plesch

“…Here, we present a novel method that integrates particle swarm optimization (PSO), a highly effective and widely used algorithm inspired by the collective behavior of bird flocks searching for food, with the physical principle of conserving energy and damping in harmonic oscillators. …”
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Comparative Evaluation of Traditional and Advanced Algorithms for Photovoltaic Systems in Partial Shading Conditions by Robert Sørensen, Lucian Mihet-Popa

“…Simulations conducted in the MATLAB/Simulink software package evaluated these algorithms’ performances under various shading scenarios. …”
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Optimization Planning Techniques with Meta-Heuristic Algorithms in IoT: Performance and QoS Evaluation by İsa Avcı, Murat Koca

“…This work organizes its most innovative contribution around optimization scheduling techniques, which are based on three meta-heuristic algorithms. These algorithms include the particle swarm algorithm, the genetic algorithm, and the ant colony algorithm. …”
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Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification by Shahad Alkamli, Hala Alshamlan

“…Comparative analysis with Harris Hawks Optimization (HHO), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), and Firefly Algorithm (FFA) shows that while NRO delivers competitive performance, it does not consistently outperform all methods across datasets. …”
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Evaluation of the Efficiency of Metaheuristic Algorithms in the Optimal Design of Pile Wall Retaining Systems by Farshad Taiyari

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Balanced dung beetle optimization algorithm based on parameter substitution and escape strategy by Chen-Xu Tian, Yu-Xuan Li

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A Hybrid 3D Localization Algorithm Based on Meta-Heuristic Weighted Fusion by Dongfang Mao, Guoping Jiang, Yun Zhao

“…This paper presents a hybrid indoor localization framework combining time difference of arrival (TDoA) measurements with a swarm intelligence optimization technique. To address the nonlinear optimization challenges in three-dimensional (3D) indoor localization via TDoA measurements, we systematically evaluate the artificial bee colony (ABC) algorithm and chimpanzee optimization algorithm (ChOA). …”
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Modified Sparrow Search Algorithm by Incorporating Multi-Strategy for Solving Mathematical Optimization Problems by Yunpeng Ma, Wanting Meng, Xiaolu Wang, Peng Gu, Xinxin Zhang

“…The Sparrow Search Algorithm (SSA), proposed by Jiankai Xue in 2020, is a swarm intelligence optimization algorithm that has received extensive attention due to its powerful optimization-seeking ability and rapid convergence. …”
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Prediction of COVID-19 Effect on Patients during Six Month After Recovery, by Using AI Algorithm by hanan aldabagh, Ghaydaa Al-Talib

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Enhanced path planning algorithm via hybrid WOA-PSO for differential wheeled mobile robots by Huda Talib Najm, Nur Syazreen Ahmad, Ahmed Sabah Al-Araji

“…This study introduces an enhanced algorithm for global path planning of Differential Wheeled Mobile Robots (DWMRs) that merges the Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO). …”
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A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller by Abdullah Baihan, Ehab Ghith, Harish Garg, Seyedali Mirjalili, Davut Izci, Mostafa Rashdan, Mohammad Salman, Kashif Saleem

“…Abstract The present paper aims to propose a novel hybrid algorithm, where the Arithmetic Optimization Algorithm (AOA) and Rat Swarm Optimization (RSO) are employed for the proportional-integral-derivative (PID) controller to control the position of a micro-robotics system. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Compared to Multi-Objective Particle Swarm Optimization （MOPSO） and the Non-Dominated Sorting Genetic Algorithm-II （NSGA-II）， MOMDBA outperformed its counterpart. …”
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Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making by Guanquan Zhu, Minyi Ye, Xinqi Yu, Junhao Liu, Mingju Wang, Zihang Luo, Haomin Liang, Yubin Zhong

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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…In addition, the particle swarm algorithm is applied in weight clipping to adjust the search step size and direction adaptively. …”
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Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization by Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ghanshyam G. Tejani, Aseel Smerat, Pankaj Kumar, Ephraim Bonah Agyekum

“…To address these challenges, this paper introduces the Salp Navigation and Competitive based Parrot Optimizer (SNCPO), a novel hybrid algorithm that integrates Competitive Swarm Optimization (CSO) and the Salp Swarm Algorithm (SSA) into the PO framework. …”
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Phase Estimation Using an Optimization Algorithm to Improve Ray-Based Blind Deconvolution Performance by Wonjun Yang, Dong-Gyun Han

“…This paper proposes a method to improve RBD performance by estimating the phase of the source waveform using an optimization algorithm. Specifically, the particle swarm optimization (PSO) algorithm is employed to minimize phase estimation errors by optimizing the time delay for each receiver to maximize the beamformer output. …”
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A Novel Algorithm for Enhancing Terrain-Aided Navigation in Autonomous Underwater Vehicles by Dan Wang, Liqiang Liu, Yueyang Ben, Liang Cao, Zhongge Dong

“…To enhance the matching accuracy under large initial position errors, an improved terrain matching algorithm comprising terrain contour matching (TERCOM), particle swarm optimization (PSO), and iterative closest contour point (ICCP), named TERCOM-PSO-ICCP, is proposed. …”
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Evaluation of genetic algorithm alternatives for wind speed modeling using grey relational analysis by Hilmi Işık, Muhammet Burak Kılıç

“…Therefore, this paper focuses on parameter estimates of the Weibull distribution using genetic algorithm (GA) optimization based on the maximum likelihood (ML) method. …”
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