Metaheuristic Optimization of Fractional Order Incremental Conductance (FO-INC) Maximum Power Point Tracking (MPPT) by Hossam Hassan Ammar, Ahmad Taher Azar, Raafat Shalaby, M. I. Mahmoud

“…Due to its simplicity and efficiency, the incremental conductance MPPT (INC-MPPT) is one of the most popular algorithms used in the PV scheme. However, owing to the nonlinearity and fractional order (FO) nature of both PV and DC-DC converters, the conventional INC algorithm provides a trade-off between monitoring velocity and tracking precision. …”
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Improving lifetime of WSN using modified Moth Flame Optimization by Methaq Mahdi Ali, Razieh Asgarnezhad

“…The provisioning of nodes, selection of cluster leaders, and optimal paths have all been recommended using many current methods. However, none of the currently used methods yield sufficient grid energy optimization results. …”
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Artificial Intelligence to Analyze the Performance of the Ceramic-Coated Diesel Engine Using Digital Filter Optimization by P. Nirmala, G. Ramkumar, Satyajeet Sahoo, G. Anitha, S. Ramesh, S. Agnes Shifani, Agegnehu Shara Shata

“…The impacts of various casting parameters of composites have been examined in detail. PSO-GA (Particle Swarm Optimization and Genetic Algorithm) is utilized to analyze the performance. …”
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Optimizing Power System Performance: The Significance of Placement and Sizing of Battery Energy Storage Systems by Harith B. Hussien, Ahmed J. Abid, Naseer M. Yasin, Ameer L. Saleh, Hayder Jasim Habil

“…To do this, two meta-heuristic optimization algorithms are suggested in this paper, Particle Swarm Optimization (PSO) and Dragonfly Algorithm (DA). …”
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Optimizing the core loading pattern and fuel composition in a hexagonal small modular nuclear reactor via ANN-PSO approach by G.R. Ansarifar, M.R. Karimi, H. Zayermohammadi Rishehri

“…The gadolinia concentration was effectively optimized using the Particle Swarm Optimization (PSO) algorithm. The best model, based on TCs and PPFs, was selected. …”
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Metaheuristic optimization of extreme gradient boosting machine for enhanced prediction of lateral strength of reinforced concrete columns under cyclic loadings by Phu-Anh-Huy Pham, Nhat-Duc Hoang

“…Since model selection is critical for constructing a reliable prediction mode, this study relies on utilizing metaheuristic approaches, including Genetic Algorithm, Particle Swarm Optimization, Artificial Bee Colony, and Ant Colony Optimization, to optimize the performance of the XGBoost model. …”
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Green-fitting scheduling equilibrium model of virtual power plant based on cooperative game with improved shapley value under new-type power system by Shuo Zhang, Luming Pang, Yingzi Li, Yuanli Chen, Kangxiang Li, Meixia Zheng

“…To solve the model effectively, the improved particle swarm optimization algorithm has been employed. Then, the improved Shapley value method is applied to realize the fair and reasonable distribution of VPP internal income. …”
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Implementation of a low-cost current perturbation-based improved PO MPPT approach using Arduino board for photovoltaic systems by Abdelkhalek Chellakhi, Said El Beid, Mouncef El Marghichi, El Mahdi Bouabdalli, Ambe Harrison, Hassan Abouobaida

“…To evaluate the effectiveness of the proposed technique, comparative analyses are conducted against the traditional PO algorithm, particle swarm optimization (PSO), fuzzy logic control (FLC), and a recently introduced approach, the zone voltage (ZV) method. …”
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Modified invasive weed optimization MPPT approach for PV system interfaced with BLDC motor for water pumping system by S. Nagaraja Rao, B. M. Kiran Kumar, B. M. Manjunatha, A. Suresh Kumar

“…Results of proposed MIWO with P&O approach has been compared with other MPP approaches i.e., grey wolf optimization (GWO) approach, particle swarm optimization (PSO) approach, and genetic algorithm (GA) approaches for MPP tracking under different PSCs. …”
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Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture by Junaid Aftab, Muhammad Attique Khan, Sobia Arshad, Shams ur Rehman, Dina Abdulaziz AlHammadi, Yunyoung Nam

“…The extracted features are fused using a modified serial fusion with a strong correlation approach. An optimization algorithm- slap swarm controlled standard Error mean (SScSEM) has been employed, and the best features that passed to the shallow wide neural network (SWNN) classifier for the final classification have been selected. …”
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Selección de Canales en Sistemas BCI basados en Potenciales P300 mediante Inteligencia de Enjambre by V. Martínez-Cagigal, R. Hornero

“…Channel selection in BCI systems is essential to avoid over-fitting, to reduce the computational cost and to increase the usersâ comfort. Although several algorithms have previously developed for that purpose, metaheuristics based on swarm intelligence have not been exploited yet in P300-based BCI systems. …”
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Predicting the Traffic Crashes of Taxi Drivers by Applying the Non-Linear Learning of ANFIS-PSO with M5 Model Tree by E. Abbasi, M. Hadji Hosseinlou

“…This study uses the general health questionnaire (GHQ-12) within some socio-demographic and also a number of daily exercise related questions for prediction of traffic crashes among taxi drivers in the City of Tehran. A novel technique is been developed by applying nonlinear-learning of composition model of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) with M5 model tree. …”
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Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network by Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

“…Additionally, a deep neural network-based, the faster Region-Based Convolutional Neural Networks (R-CNN) algorithm combined with Adaptive Galactic Swarm Optimization (AGSO) is being used to identify appropriate and incorrect face mask wear in images, as well as to monitor social distancing among individuals in crowded areas. …”
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Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework by Seyed Mohammad Samadi, Keyvan Asefpour Vakilian, Seyed Mohamad Javidan

“…In this work, using basic machine-learning methods and their optimization via meta-heuristic algorithms, the storage period, storage temperature, and mechanical loading during storage in tomatoes have been predicted by having miRNA concentrations as model inputs. …”
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A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources by M. Wajahat Hassan, Thamer Alquthami, Ahmad H. Milyani, Ashfaq Ahmad, Muhammad Babar Rasheed

“…The proposed method is applied on the IEEE-standard 6-Bus system and particle swarm optimization (PSO) algorithm is used to solve the cost minimization objective function. …”
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A Crash Severity Prediction Method Based on Improved Neural Network and Factor Analysis by Chen Zhang, Jie He, Yinhai Wang, Xintong Yan, Changjian Zhang, Yikai Chen, Ziyang Liu, Bojian Zhou

“…Crash severity prediction has been raised as a key problem in traffic accident studies. …”
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Smart forest monitoring: A novel Internet of Things framework with shortest path routing for sustainable environmental management by Alireza Etaati, Mostafa Bastam, Ehsan Ataie

“…Additionally, the placement of gateway nodes is optimised using meta‐heuristic algorithms, including particle swarm optimisation (PSO), harmony search algorithm (HSA), and ant colony optimisation for continuous domains (ACOR), with ACOR emerging as the most effective. …”
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Research on Improved Equivalent Diagonal Strut Model for Masonry-Infilled RC Frame with Flexible Connection by Guang Yang, Erfeng Zhao, Xiaoya Li, Emad Norouzzadeh Tochaei, Kan Kan, Wei Zhang

“…Employed with inversion analysis theory, the parameter in the proposed model was estimated through artificial fish swarm algorithm. Finally, applied with the existing experiment results, a case study was conducted to verify the effectiveness and feasibility of the proposed model.…”
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Fatigue life prediction and stresses applicability of TBCs by the virtual S-N curve method by Changcheng Xie, Chao Ma, Changhao Wang, Yudong Yao, Pinbo Huang

“…Finally, the errors of different stresses for TBCs life prediction are analyzed in conjunction with the particle swarm algorithm, and the stress with the best applicability is identified and verified experimentally. …”
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Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing by Hua Mu, Yu Zhang, Zhenyu Liang, Haoqi Gao, Haoli Xu, Bingwen Wang, Yangyang Wang, Xing Yang

“…In this study, we propose a deep learning network capable of forward prediction across a broad wavelength range, combined with a particle swarm optimization algorithm to design metalens efficiently. …”
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