Design and Optimization of Optical NAND and NOR Gates Using Photonic Crystals and the ML-FOLD Algorithm by Alireza Mohammadi, Fariborz Parandin, Pouya Karami, Saeed Olyaee

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A Comparative Analysis of Advanced Routing and Cluster Head Selection Algorithm Using Lagrange Interpolation by Zoren P. Mabunga, Jennifer C. Dela Cruz, Renato R. Maaliw

“…This paper presents a unified performance metric for evaluating the chronological wild geese optimization (CWGO) algorithm in wireless sensor networks (WSNs). The metric combines key performance factors—energy consumption, delay, distance, and trust—into a single measure using Lagrange interpolation, providing a more comprehensive assessment of WSN algorithms. …”
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Sentiment Analysis of Suicide on X Using Support Vector Machine and Naive Bayes Classifier Algorithms by M. Fariz Fadillah Mardianto, Bagas Shata Pratama, Marfa Audilla, Elly Pusporani

“…Methods: One method used to understand public perception regarding the issue of suicide is text mining. This research employs text mining techniques with the Support Vector Machine (SVM) and Naive Bayes Classifier algorithms to analyze public sentiment related to suicide cases in Indonesia. …”
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Preliminary Evaluation of an Advanced Ventilation-Control Algorithm to Optimise Microclimate in a Commercial Broiler House by Kehinde Favour Daniel, Lak-yeong Choi, Se-yeon Lee, Chae-rin Lee, Ji-yeon Park, Jinseon Park, Se-woon Hong

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Improvement teaching-learning-based optimization algorithm for solar cell parameter extraction in photovoltaic systems by H. Khaterchi, M. H. Moulahi, A. Jeridi, R. Ben Messaoud, A. Zaafouri

“…Key contributions include methodological improvements such as dynamic adjustment of the teaching factor and a new approach to partner selection, which significantly optimizes the algorithm’s performance. Practical value. This research provides a robust framework for solar cell parameter extraction, offering practical benefits for PV system designers and researchers in improving model accuracy and efficiency. …”
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Evaluation on the Quasi‐Realistic Ionospheric Prediction Using an Ensemble Kalman Filter Data Assimilation Algorithm by Jianhui He, Xinan Yue, Huijun Le, Zhipeng Ren, Weixing Wan

“…Abstract In this work, we evaluated the quasi‐realistic ionosphere forecasting capability by an ensemble Kalman filter (EnKF) ionosphere and thermosphere data assimilation algorithm. The National Center for Atmospheric Research Thermosphere Ionosphere Electrodynamics General Circulation Model is used as the background model in the system. …”
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Optimizing Cloud Computing Performance With an Enhanced Dynamic Load Balancing Algorithm for Superior Task Allocation by Raiymbek Zhanuzak, Mohammed Alaa Ala'Anzy, Mohamed Othman, Abdulmohsen Algarni

“…Unlike benchmark algorithms that rely on static VM selection or post-hoc relocation of cloudlets, the EDLB algorithm dynamically identifies optimal cloudlet placement in real-time. …”
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Quantum Marine Predator Algorithm: A Quantum Leap in Photovoltaic Efficiency Under Dynamic Conditions by Okba Fergani, Yassine Himeur, Raihane Mechgoug, Shadi Atalla, Wathiq Mansoor, Nacira Tkouti

“…The Quantum Marine Predator Algorithm (QMPA) presents a groundbreaking solution to the inherent limitations of conventional Maximum Power Point Tracking (MPPT) techniques in photovoltaic systems. …”
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Assessment of hydrological loading displacement from GNSS and GRACE data using deep learning algorithms by Changshou Wei, Maosheng Zhou, Zhixing Du, Lijing Han, Hao Gao

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A Multi-Objective Black-Winged Kite Algorithm for Multi-UAV Cooperative Path Planning by Xiukang Liu, Fufu Wang, Yu Liu, Long Li

“…In UAV path-planning research, it is often difficult to achieve optimal performance for conflicting objectives. …”
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Enhancing Surgery Scheduling in Health Care Settings With Metaheuristic Optimization Models: Algorithm Validation Study by João Lopes, Tiago Guimarães, Júlio Duarte, Manuel Santos

“…For the SA algorithm, the penalty score was 5100 in urology, 1240 in obesity, and 30 in pediatric plastic surgery. …”
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Harmonics Elimination of Reduced Switch Multilevel Inverter Using Henry Gas Solubility Optimization Algorithm by Murni Nabila Mohd Zawawi, Zainuddin Mat Isa, Baharuddin Ismail, Mohd Hafiz Arshad, Ernie Che Mid, Md Hairul Nizam Talib, Muhammad Fitra Zambak

“…This study introduces a pioneering method to enhance the efficiency and effectiveness of three-phase five-level reduced switch cascaded H-bridge multilevel inverters (CHB MLI) by employing the Henry Gas Solubility Optimization (HGSO) algorithm. Targeting the selective harmonic elimination (SHE) technique, the research emphasizes the optimization of switching angles to significantly reduce total harmonic distortion (THD) and align the fundamental output voltage closely with the reference voltage. …”
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

“…Finally, a ready-to-use benchmarking toolkit and a deployment-oriented algorithm-selection matrix are provided to guide researchers, engineers, and policy-makers in real-world smart-city applications. …”
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An Auto-Adjusting Algorithm to Enhance Indoor Localization Accuracy: A Real-Time Experimental Analysis by Othman A. Alfahad, Husham Saied, Emad Malaekah, Ahmed Al Rashdi, Mohammed Emam, Mohsen Bakouri

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Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm by Mokhaled N. A. Al-Hamadani, Richard Poroszlay, Gabor Szeman-Nagy, Andras Hajdu, Stathis Hadjidemetriou, Luca Ferrarini, Balazs Harangi

“…Accurate and automated detection and tracking of cells in microscopy images is a persistent challenge in biotechnology and biomedical research. Effective detection and tracking are crucial for understanding biological processes and extracting meaningful data for subsequent simulations. …”
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Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm by Mostafa Jabari, Amin Rad, Morteza Azimi Nasab, Mohammad Zand, Sanjeevikumar Padmanaban, S. M. Muyeen, Josep M. Guerrero

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Optimizing Urban Intersection Management in Mixed Traffic Using Deep Reinforcement Learning and Genetic Algorithms by Jiajun Shen, Yu Wang, Haoyu Wang, Guanyu Fu, Zhipeng Zhou, Jingxin Dong

“…By employing genetic algorithm and deep reinforcement learning (DRL), the research seeks to dynamically adjust lane configurations to improve intersection efficiency under varying traffic conditions and CAV penetration rates. …”
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Multiscale pore/throat characterization in tight sandstone formation with multi-threshold image segmentation algorithm by Hu Rongrong, Han Jiangchen, Wang Chenchen, Zhu Jian, Dong Hu

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Low-carbon economic optimization for flexible DC distribution networks based on the hiking optimization algorithm by Ke Wu, Yuefa Guo, Ke Wang, Zhenliang Chen

“…Abstract The integration of large-scale renewable energy into the grid has significantly advanced research on flexible DC distribution networks. However, the potential of flexible loads—possessing both source and load characteristics—in supporting the low-carbon economic operation of integrated energy systems (IES) remains underexplored. …”
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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…Effective feature selection lowers computational costs, making it indispensable for processing large datasets. In this research, we introduce the Improved Multi-Verse Optimizer (IMVO) algorithm, a novel feature selection method that integrates the Multi-Verse Optimizer (MVO) with local search algorithms (LSAs). …”
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