Application of Fuzzy Logic Sliding Mode Control Approach With PID Structure for Electro-Hydraulic Actuator Tracking System by Muhamad Fadli Ghani, Ahmad Athif Mohd Faudzi, Rozaimi Ghazali, Shahrol Mohamaddan

“…The proposed control strategy was designed with the switching function modification based on an FL approach in the conventional SMC algorithm. Due to the difficulty of concurrent hybrid design, a particle swarm optimization (PSO) algorithm was employed to determine the optimal control variables value. …”
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Scheduling Strategy for “Wind-Network-Vehicle” Joint Accommodation Based on Electric Vehicle Clustering by Yan CHEN, Wei JIN, Wenbin WANG, Huibin LI, Shengfeng HAN, Yiming WANG, Jiaqing ZHONG

“…Aiming at the problem of grid-connected wind farm output and the uncertainty of electric vehicle loads, this paper studies the fusion of credibility theory and fuzzy opportunity constraints, introduces credibility measures, and makes clear and equivalent treatment of fuzzy opportunity constraints. Finally, a particle swarm optimization algorithm with a shrinkage factor considering the outlier penalty function method is used to optimize the scheduling model, and a case is used to verify the superiority of the model and its scheduling strategy.…”
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Blueberry Remaining Shelf-Life Prediction Based on the PSO-CNN-BiLSTM-MHA Model by Mengya Liu, Xu Cheng, Yu Cao, Qian Zhou

“…To meet the demand for high accuracy in predicting the remaining shelf-life of blueberries, this paper proposes a fusion model (PSO-CNN-BiLSTM-MHA) that combines Particle Swarm Optimization (PSO), Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory network (BiLSTM), and Multi-Head Attention (MHA) mechanisms for predicting the remaining shelf-life of &#x2018;Emerald&#x2019; blueberries under two temperature conditions, <inline-formula> <tex-math notation="LaTeX">$4^{\circ } \text {C}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$25^{\circ } \text {C}$ </tex-math></inline-formula>. …”
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Fuzzy deep learning architecture for cucumber plant disease detection and classification by Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

“…At the same time, the ReLU transfer function ensures robustness, mainly when dealing with noisy or incomplete image segments. Feature vector optimization is performed using a chaotic particle swarm algorithm, enhancing the model’s overall accuracy, reliability, and ease of implementation. …”
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Machine tool FEM model correction assisted by dynamic evolution sequence by Weihao Lin, Peng Zhong, Xindi Wei, Li Zhu, Xuanlong Wu

“…Moreover, replacing the random sequence with a dynamic evolution sequence enhances the search space coverage of the heterogeneous comprehensive learning particle swarm optimization (HCLPSO) algorithm. The results of numerical examples demonstrate that the finite element model, corrected using the proposed method, accurately predicts the true displacement responses of the machine tool. …”
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Enhancing laser surface texturing with driving training-based optimization: A metaheuristic approach by Ishwer Shivakoti, Sunny Diyaley, Partha Protim Das, Abhijit Bhowmik, A. Johnson Santhosh

“…Comparative analyses was performed with five other metaheuristic algorithms such as Ant colony optimization, Particle swarm optimization, Differential evolution, Firefly algorithm, Teaching-learning-based optimization, and Artificial bee colony. …”
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Generation-Storage Cooperative Optimization Control Method for Distribution Network Based on HSA-PSO Algorithm by Bin DANG, Qiqun ZOU, Bin ZHANG, Dong FU, Mengkai YOU, Jian LE

“…Combining harmony search algorithm and particle swarm optimization algorithm effectively, a harmony search-particle swarm optimal algorithm(HSA-PSO) is proposed to solve the established model. …”
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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

“…We compared its performance against a multi-objective genetic algorithm, a multi-objective particle swarm algorithm, and a single-objective genetic algorithm. …”
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Methods for state of health estimation for lithium-ion batteries: An essential review by Rhdifa Houda, Ammar Abderazzak, Bouattane Omar

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Optimization of the Hollow Rectification Sill in the Forebay of the Pump Station Based on the PSO-GP Collaborative Algorithm by Wang Xi, Weigang Lu, Chuan Wang, Bo Xu

“…In this paper, particle swarm optimization (PSO) was combined with the Gaussian process (GP) to establish a particle swarm-Gaussian process (PSO-GP) model to predict the velocity uniformity of the inlet sump of pump stations with different hole-to-height ratios, hole-to-width ratios, upper-to-lower sill length ratios, and sill height-to-water table ratios. …”
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Multi-objective optimization of hybrid microgrid for energy trilemma goals using slime mould algorithm by Alok Kumar Shrivastav, Soham Dutta

“…Compared to conventional metaheuristic such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), the SMA achieves a power loss reduction of 12.3% and a levelized cost of energy (LCOE) improvement of 9.8%. …”
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GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks by R. Rajakumar, J. Amudhavel, P. Dhavachelvan, T. Vengattaraman

“…The parameters like computation time, percentage of localized node, and minimum localization error measures are utilized to analyse the potency of GWO rule with other variants of metaheuristics algorithms such as particle swarm optimization (PSO) and modified bat algorithm (MBA). …”
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An intelligence technique for route distance minimization to store and marketize the crop using computational optimization algorithms by Saikat Banerjee, Abhoy Chand Mondal

“…This research aims to develop connectivity across many cold storage facilities utilizing the traveling salesperson problem algorithm. Various computational intelligence algorithms such as Greedy Algorithm, Simulated Annealing, 2-opt Algorithm, Particle Swarm Optimization, and Ant Colony Optimization are employed to determine the minimum route. …”
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A Hybrid Optimization Framework for Dynamic Drone Networks: Integrating Genetic Algorithms with Reinforcement Learning by Mustafa Ulaş, Anıl Sezgin, Aytuğ Boyacı

“…The growing use of unmanned aerial vehicles (UAVs) in diverse fields such as disaster recovery, rural regions, and smart cities necessitates effective dynamic drone network establishment techniques. Conventional optimization techniques like genetic algorithms (GAs) and particle swarm optimization (PSO) are weak when it comes to real-time adjustment to the environment and multi-objective constraints. …”
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Design of efficient generalized digital fractional order differentiators using an improved whale optimization algorithm by Mohammed Ali Mohammed Moqbel, Talal Ahmed Ali Ali, Zhu Xiao, Amani Ali Ahmed Ali

“…IWOA is developed by incorporating a piecewise linear chaotic mapping (PWLCM) and an adaptive inertia weight based on the hyperbolic tangent function (AIWHT) into the framework of original whale optimization algorithm (WOA). Simulation experiments are conducted to compare the performance of our method with that of well-known techniques, real-coded genetic algorithm (RCGA), particle swarm optimization (PSO), and original WOA. …”
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Metaheuristic Algorithms for Optimization and Feature Selection in Cloud Data Classification Using Convolutional Neural Network by Nandita Goyal, Munesh Chandra Trivedi

“…The proposed system makes a comparison of models with and without feature selection algorithms before applying the data to CNN. A comparison of different metaheuristics algorithms- Particle Swarm Optimization, Shuffled Frog Leap Optimization and Fire fly algorithm for feature optimization is done based on convergence rate and efficiency.…”
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Application of Hybrid MOPSO Algorithm to Optimal Reactive Power Dispatch Problem Considering Voltage Stability by Yujiao Zeng, Yanguang Sun

“…This study presents a novel hybrid multiobjective particle swarm optimization (HMOPSO) algorithm to solve the optimal reactive power dispatch (ORPD) problem. …”
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Optimal Energy Management of EVs at Workplaces and Residential Buildings Using Heuristic Graph-Search Algorithm by Md Jamal Ahmed Shohan, Md Maidul Islam, Sophia Owais, Md Omar Faruque

“…Results from various case studies demonstrate that the proposed method outperforms popular heuristic optimization techniques, such as particle swarm optimization and genetic algorithms, by 3–5% for different real-time energy prices. …”
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The optimization of low Earth orbit satellite constellation visibility with genetic algorithm for improved navigation potential by Chao Qin, Yanbin Gao, Yihuan Wang

“…Overall, the proposed GA outperformed Particle Swarm Optimization and Dynamic Non-dominated Sorting Differential Evolution in visibility, robustness, and computational efficiency. …”
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State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement by Senele Njabulo Zwane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…Noticeable aspect from the results includes the prevalence of metaheuristic algorithms like genetic algorithms, particle swarm optimization, cuckoo search, and various others. …”
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