A novel metaheuristic approach for simultaneous loss minimization and torque ripple reduction of DTC- IM driven EV by Anjan Kumar Sahoo

“…The proposed dynamic reference flux selection algorithm is evaluated numerically and compared using standard drive cycles, and the amount of energy a vehicle uses during different drive cycles is compared. …”
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Enhancing retinal disease diagnosis through AI: Evaluating performance, ethical considerations, and clinical implementation by Maryam Fatima, Praveen Pachauri, Wasim Akram, Mohd Parvez, Shadab Ahmad, Zeinebou Yahya

“…Data sources assessed included various electronic databases searched up to July 31, 2023. The prespecified criteria for study inclusion were studies involving AI algorithms for retina disease detection, including those focused on diabetic retinopathy, age-related macular degeneration, and glaucoma. …”
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Chaotic Binary Firefly Spectrum Allocation Strategy Based on Logistic Mapping by TENG Zhi-jun, ZHANG Hua, ZHANG Ai-ling, HAN Zhong-ting, ZHANG Heng-jia

“…Aiming at the problem that the searching effect of cognitive radio spectrum allocation optimization algorithm leads to the low total benefit of the system, we propose a binary firefly spectrum allocation strategy based on logistic mapping, because the binary firefly algorithm is prone to fall into the local optimum. …”
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A Heuristic Enhancing Artificial Immune System for Three-dimensional Loading Capacitated Vehicle Routing Problem by Peeraya Thapatsuwan, Warattapop Thapatsuwan, Chaichana Kulworatit

“…Comparative experiments were conducted against conventional AIS and the Firefly Algorithm (FA) across 27 benchmark instances. …”
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Design of Ricker Wavelet Neural Networks for Heat and Mass Transport in Magnetohydrodynamic Williamson Nanofluid Boundary-Layer Porous Medium Flow with Multiple Slips by Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Muhammad Shoaib, Rajesh Kumar, Syed Ibrar Hussain

“…The solver employs a hybrid approach that combines genetic algorithms, serving as a global search method, with sequential quadratic programming, which functions as a local optimization technique. …”
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A novel method based on improved SFLA for IP information extraction from TEM signals by Ruiyou Li, Ruiheng Li, Guang Li, Yong Zhang, Xiaohui Ding, Long Zhang

“…The inversion results show that the ISFLA method can more effectively reconstruct the geoelectric structure, extract IP information, and exhibit greater robustness. Compared to other heuristic algorithms, the proposed method achieves superior global search ability and inversion accuracy, making it well-suited for IP information extraction.…”
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Air Quality Prediction Using Neural Networks with Improved Particle Swarm Optimization by Juxiang Zhu, Zhaoliang Zhang, Wei Gu, Chen Zhang, Jinghua Xu, Peng Li

“…Second, the inertia weights and learning factors of the standard PSO are improved to ensure the global search ability exhibited by the algorithm in the early stage and the ability to rapidly obtain the optimal solution in the later stage; we also introduce an adaptive variation algorithm in the particle search process to prevent the particles from being caught in local optima. …”
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Research on early warning model of coal spontaneous combustion based on interpretability by Huimin Zhao, Xu Zhou, Jingjing Han, Yixuan Liu, Zhe Liu, Shishuo Wang

“…In this paper, a Rough Set-Stacking-SHapley Additive Explanations (RS-Stacking-SHAP) prediction model of CSC based on grid search optimized is proposed. Compared with the traditional machine learning model, the model has better prediction accuracy and generalization ability. …”
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Research on the method of weight calculation and equipment arrangement optimization of tramcar by DUAN Huadong, LIU Xiaofeng, JIANG Zhongcheng, ZHANG Bo

“…Because of its low optimization efficiency and only searching the local optimal solution, the mixed integer linear programming algorithm was finally proposed to develop the tram equipment layout optimization model. …”
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Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency by X. Little Flower, S. Poonguzhali

“…The proposed hybrid approaches, NCA-GWO and NCA-EO, combined the strengths of NCA for feature ranking with the search efficiency of GWO and EO. These hybrid methods achieved high classification accuracy, reduced feature subsets, and improved computational efficiency compared to individual methods. …”
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Advanced Vehicle Routing for Electric Fleets Using DPCGA: Addressing Charging and Traffic Constraints by Yuehan Zheng, Hao Chang, Peng Yu, Taofeng Ye, Ying Wang

“…To efficiently solve this problem, a Dual Population Cooperative Genetic Algorithm (DPCGA) is proposed. The algorithm employs a dual-population mechanism for global exploration, effectively expanding the search space and accelerating convergence. …”
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Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU by Jian Lv, Binhao Huang, Ligang Qiang

“…The IZOA leverages Tent and Logistic chaotic mappings for improved population diversity and convergence, along with a memory-based strategy to enhance global search capabilities. Experimental evaluations across three motion tasks—level walking, stair ascent, and stair descent—demonstrated that the proposed method achieved a minimum root mean square error (RMSE) of 1.31°, with over 50% reduction in feature dimensionality, significantly outperforming Genetic Algorithm (GA), Zebra Optimization Algorithm (ZOA), Liver Cancer Algorithm (LCA), and Pied Kingfisher Optimizer (PKO). …”
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Research on the connectivity reliability analysis and optimization of natural gas pipeline network based on topology by Xiuxuan Yang, Kun Chen, Minghui Liu

“…First, a minimum path set-based reliability model is developed, leveraging an enhanced depth-first search (DFS) algorithm for efficient path identification and binary decision diagrams (BDD) to eliminate 92% of redundant terms in reliability formulas, reducing computational complexity by 40% compared to Monte Carlo simulations. …”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…The experimental results indicate that the proposed data structure and algorithm can better distinguish the defect features of highway roadbeds. …”
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Economic and environmental power dispatch for energy management systems applied to microgrids with wind energy resources and battery energy storage systems by Jhon Montano, John E. Candelo-Becerra, Cristian Escudero-Quintero, Juan Pablo Guzmán

“…To solve this problem, four metaheuristic optimization algorithms were implemented: Enhanced Prairie Dog Optimization (EPDO), Salp Swarm Algorithm (SSA), Generalized Normal Distribution Optimization (GNDO), and Crow Search Algorithm (CSA). …”
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Diagnostic accuracy of artificial intelligence algorithms to predict remove all macroscopic disease and survival rate after complete surgical cytoreduction in patients with ovarian... by Somayyeh Noei Teymoordash, Hoda Zendehdel, Ali Reza Norouzi, Mahdis Kashian

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Slope deformation prediction based on GA–BP neural networks by Wenhui TAN, Kai LI, Huimin LIU, Meifeng CAI, Qifeng GUO

“…To enhance the BP neural network performance and prevent it from falling into local minima, a genetic algorithm (GA) is introduced to the training step of the BP neural network. …”
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Alternating current servo motor and programmable logic controller coupled with a pipe cutting machine based on human-machine interface using dandelion optimizer algorithm - attenti... by Santosh Prabhakar Agnihotri, Mandar Padmakar Joshi

“…Through implementation on the MATLAB platform, the proposed DOA-APCNN approach demonstrates a noteworthy 30% reduction in computation time compared to existing methods such as Heap-based optimizer (HBO), Cuckoo Search Algorithm (CSA), and Salp Swarm Algorithm (SSA). …”
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Cost-effective process design for methanol synthesis from carbon dioxide hydrogenation by Sheng-Zhong Huang, Chih-Yao Lin, Chianghui Wang, Akhmat Fauzan Saputra, Henggar Yudha Hananto, Nicolas Justin Sutanto, Anggit Raksajati, Vincentius Surya Kurnia Adi

“…The framework integrates Aspen Plus® with a genetic algorithm (GA) in the MATLAB® environment, allowing automated solution searches and the identification of optimal designs through an elimination-based mechanism. …”
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Multi-objective optimization design of the cam linkage mechanism of the automatic welding device by SONG Zhicheng, YU Feng, DENG Yuanchao, CAI Yufei

“…Thirdly, the optimal roller coordinates were searched in the two-dimensional plane with the optimal rod length, and Matlab programming was used to obtain the convex contour line to verify that the cam pressure angle meets the design requirements. …”
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