Application of sparrow search swarm intelligence optimization algorithm in identifying the critical surface in slope-stability by Abhijit Saha

“…Each entity within the swarm is swayed by its individual ‘best’ and group’s ‘best’ position while moving randomly to converge to optimal through competition and cooperation. …”
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Optimizing Goods Placement in Logistics Transportation using Machine Learning Algorithms based on Delivery Data by Moh Husnus Syawab, Yunifa Miftachul Arief, Fresy Nugroho, Ririen Kusumawati, Cahyo Crysdian, Agung Teguh Wibowo Almais

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Advanced Sales Route Optimization Through Enhanced Genetic Algorithms and Real-Time Navigation Systems by Wilmer Clemente Cunuhay Cuchipe, Johnny Bajaña Zajia, Byron Oviedo, Cristian Zambrano-Vega

“…Efficient sales route optimization is a critical challenge in logistics and distribution, especially under real-world conditions involving traffic variability and dynamic constraints. …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Application of such algorithms include automate segmentation, lesion detection, and real-time image analysis, optimizing dose parameters based on patient-specific factors, thus prioritizing patient safety and treatment effectiveness while revolutionizing medical imaging. …”
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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

“…The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach was utilized to systematically identify and refine the focus on the topic using the Scopus database, while VOSviewer assisted in analyzing trends. 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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Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…This paper proposes a nonlinear path optimization algorithm for mining trucks based on double-layer trust region strategy, aiming at addressing path planning in the complex environment of mining areas. …”
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Management of large energy storage power plants: optimization of charging and discharging with cuckoo search algorithm by Behnam Motalebinejad, Majid Hosseina, Mojtaba Vahedi, Mahmoud Samiei Moghaddam

“…Additionally, through the use of artificial intelligence algorithms and optimization techniques, the performance and operations of large-scale energy storage facilities can be enhanced. …”
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Data-Driven Optimization for Low-Carbon Prefabricated Components Production Based on Ant Colony Algorithms by Chun-Ling Ho, Chien-Chih Wang, Shenjun Qi, Zichen Zhang

“…It also gathers data on carbon emissions, time, and costs to formulate a multi-objective optimization model. Utilizing ant colony algorithms, the model aims to minimize costs while adhering to low-carbon principles and fostering the sustainable development of prefabricated buildings. …”
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Optimization of Processing Parameters in ECM of Die Tool Steel Using Nanofluid by Multiobjective Genetic Algorithm by V. Sathiyamoorthy, T. Sekar, N. Elango

“…Thirty-six experiments were designed using Design Expert 7.0 software and optimization was done using multiobjective genetic algorithm (MOGA). …”
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Prediction of energy consumption in four sectors using support vector regression optimized with genetic algorithm by Md. Sadikul Hasan, Md. Tarequzzaman, Md. Moznuzzaman, Md Abdul Ahad Juel

“…Effectively managing and optimizing energy resources to accommodate population growth while minimizing carbon emissions has become increasingly intricate. …”
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Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems by S. Isaac, C. Kadurumba, H. Ugwu, F. Abam

“…This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering uncertainties and variability. …”
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An Improved Human Evolution Optimization Algorithm for Unmanned Aerial Vehicle 3D Trajectory Planning by Xue Wang, Shiyuan Zhou, Zijia Wang, Xiaoyun Xia, Yaolong Duan

“…Experimental comparative research on three different terrain environments and five traditional algorithms shows that the IHEOA not only exhibits excellent performance in terms of convergence speed and precision but also generates superior paths while demonstrating exceptional global optimization capability and robustness in complex environments. …”
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Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

“…This algorithm’s recognition accuracy surpasses that of TCN, Long Short-Term Memory, and Convolutional Neural Network-Long Short-Term Memory algorithms by 10.57%, 3.65%, and 2.70%, respectively. …”
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Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples by Abdullahi G. Usman, Sagiru Mati, Hanita Daud, Ahmad Abubakar Suleiman, Sani I. Abba, Hijaz Ahmad, Taha Radwan

“…This study proposed the use of a support vector regression (SVR) predictive model improved by two metaheuristic algorithms used for optimization namely, Harris Hawks Optimization (HHO) and Particle Swarm Optimization (PSO) to predict chromatographic retention time of various food mycotoxin groups. …”
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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

“…While established methods such as Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multiobjective Evolutionary Algorithm based on Decomposition (MOED/D) remain prevalent, hybrid frameworks that couple deep learning with evolutionary search display superior adaptability in high-dimensional, dynamic environments. …”
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Study on Multiobjective Path Optimization of Plant Protection Robots Based on Improved ACO‐DWA Algorithm by Jing Niu, Chuanyan Shen, Lipeng Zhang, Guanghao Gao, Jiahao Zheng

“…To address the false judgment of visual information caused by the shading of branches and leaves and the difficulty in avoiding obstacles in complex orchard terrain, an operation trajectory optimization approach based on the improved dynamic window algorithm (DWA) with ant colony optimization (ACO) was developed. …”
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Multiscale Modeling and Reconstruction of Joint Motion: Finite Element Optimization Based on Particle Swarm Algorithm by Jiaju Zhu, Zhong Zhang, Runnan Liu, Meixue Ren, Guodong Ma

“…High-resolution CT and MRI scans of the knee joint were utilized to construct an accurate 3D reconstruction model, while the particle swarm algorithm was implemented to optimize joint positioning. …”
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A Distributed Energy-Throughput Efficient Cross-Layer Framework Using Hybrid Optimization Algorithm by Pratap Singh, Nitin Mittal, Vikas Mittal, Tapankumar Trivedi, Ashish Singh, Szymon Łukasik, Rohit Salgotra

“…This work proposes a distributed cross-layer solution, leveraging the hybrid marine predator naked mole rat algorithm (MPNMRA) for MI-operated WUSNs. The solution, called DECMN (distributed energy-throughput efficient cross-layer network using MPNMRA), is designed to optimize the MI communication channels, MI relay coils (MI waveguide), and MI waveguide with 3D coils to fulfill quality of service (QoS) parameters, while achieving energy savings and throughput gains. …”
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Reference Point and Grid Method-Based Evolutionary Algorithm with Entropy for Many-Objective Optimization Problems by Qi Leng, Bo Shan, Chong Zhou

“…The non-dominated sorting evolutionary reference point-based (NSGA-III) and the grid-based evolutionary algorithms (GrEA) are two prevalent algorithms for many-objective optimization. …”
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ANN and RF Optimized by Hunter–Prey Algorithm for Predicting Post-Blast RC Column Morphology by Kai Rong, Yongsheng Jia, Yingkang Yao, Jinshan Sun, Qi Yu, Hongliang Tang, Jun Yang, Xianqi Xie

“…To predict bending deflection and the exposed height of longitudinal reinforcement, artificial neural network (ANN) and random forest (RF) models are optimized using the hunter–prey optimization (HPO) algorithm. …”
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