Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…The particle swarm optimization (PSO) algorithm was used to optimize the detection region, thus enhancing the counting accuracy. …”
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GEB-YOLO: Optimized YOLOv7 Model for Surface Defect Detection on Aluminum Profiles by Zihao Xu, Jinran Hu, Xingyi Xiao, Yujian Xu

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Research on cooperative control strategy for high efficiency and energy saving in virtually coupled train sets based on two-layer optimization by JIANG Sidun, FENG Jianghua, ZHANG Zhengfang, SHI Ke, LUO Qinyang

“…This key information serves as intermediate transfer variables within this two-layer model. The lower layer concentrates on energy-saving optimization, establishing an objective function for energy saving and utilizing a multi-objective particle swarm algorithm to optimize cruising curves. …”
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Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning by Yi Qin, Junyan Chen, Lei Jin, Rui Yao, Zidan Gong

“…Secondly, DCEDRL utilizes an optimized density clustering method to identify and classify computing tasks with similar characteristics to improve subsequent task scheduling and resource allocation efficiency. …”
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A new neurodynamic model with Adam optimization method for solving generalized eigenvalue problem by Ebrahim Ganjalipour, Khadijeh Nemati, Amir Hosein Refahi Sheikhani, Hashem Saberi Najafi

“…The experiments demonstrate that our algorithm using Adam optimizer, in comparison with other stochastic optimization methods like gradient descent works well in practice and improves complexity and accuracy of convergence.…”
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FlexSim-Simulated PCB Assembly Line Optimization Using Deep Q-Network by Jinhao Du, Jabir Mumtaz, Wenxi Zhao, Jian Huang

“…The PCB assembly line model is constructed using the FlexSim simulation tool, and the optimal scheduling strategy is learned through the DQN algorithm. …”
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Multi-Strategy Fusion Path Planning Algorithm for Autonomous Surface Vessels with Dynamic Obstacles by Yongshun Xie, Chengyong Liu, Yixiong He, Yong Ma, Kang Liu

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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

“…With the rapid proliferation of electric vehicles (EVs), urban logistics faces increasing challenges in optimizing vehicle routing. This paper presents a new modeling framework for the Electric Vehicle Routing Problem (EVRP), where multiple electric trucks serve a set of customers within their capacity limits. …”
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End-to-end throughput evaluation model and optimization method for dual-mode mesh network by SU Zhan, WEN Bo, ZHU Xiaorong

“…The proposed resource allocation algorithm improves throughput by 10% compared with traditional resource allocation algorithms. …”
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A Data-Driven Approach for Energy Consumption Modeling and Optimization of Welding Robot Systems by Minling Pan, Bingqi Jia, Lei Zhang, Haihong Pan, Lin Chen

“…To solve the optimization problem, an improved whale optimization algorithm (IWOA) was employed. …”
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An Optimization Model of Multi-Intersection Signal Control for Trunk Road under Collaborative Information by Xun Li, Zhengfan Zhao, Li Liu, Yao Liu, Pengfei Li

“…We proposed a signal control optimization model for urban main trunk line intersections. …”
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A new Hybrid Metaheuristic Model for Image Edge Detection by Adil Khalil, Adel Abed Al Wahaab, Ahmed Abbas

“…These techniques may have the potential to provide advanced capabilities to improve the image edge detection process. A metaheuristic model such as the Bat algorithm may offer appropriate parameters for the edge detection algorithm. …”
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Courier Assignment and Routing Problem Algorithm in Online Food Delivery System with Multi-Customer Delivery Patterns by Prita Meilanitasari, Maulin Masyito Putri, Ilda Auly Sita Agustin, Muhammad Faisal Ibrahim, Dwi Sekar Arumjani

“…Various scenarios were tested to validate the model based on the chosen routes. The aim of this research is to develop a new model and algorithm that reduces delivery time and increases the number of orders that couriers can handle. …”
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Research on the optimization model of anti-breast cancer candidate drugs based on machine learning by Zhou Dong, Hong Chen, Yuchen Yang, Hairong Hao

“…Additionally, a multi-model fusion strategy and Particle Swarm Optimization (PSO) algorithm were employed to optimize both biological activity and ADMET properties, thereby improving the prediction of Caco-2, CYP3A4, hERG, HOB, and MN properties. …”
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Optimization Method for the PVB Resin Process Parameters Based on the Quality Index Prediction Model by Tongming Xu, Haiming Zhang, Bozhao Li, Guobo Zhao, Haiyang Lu, Weilong Li, Siyuan Wang, Zhaoran Shen

“…Moreover, considering the reaction mechanism, 6 key input parameters are analyzed, and their weights are improved in the model. Then, based on the constructed quality index prediction model, an optimization method for the PVB resin process parameters is developed using the nondominated sorting genetic algorithm II (NSGA-II). …”
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YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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Modeling and optimizing the atmospheric water harvesting System: Application of PAN-PDMS polymeric membrane by Sepehr Sanaye, Pouya Rezvani Gil Kalaee, Javad Mahmoudimehr

“…This proposed water harvesting system is modeled in energy and economic aspects for the first time and is optimized in this research by applying multi-objective Genetic Algorithm (GA) technique. …”
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Optimization of Rotary Blade Wear and Tillage Resistance Based on DEM-MBD Coupling Model by Zhiqiang Mao, Yang Zhang, Keping Zhang, Jiuxin Wang, Junqian Yang, Xiaobao Zheng, Shuaikang Chen, Zhongqing Yang, Biao Luo

“…To solve the problems of high tillage resistance and the rapid wear of the rotary blade during tillage, this study employed a coupled algorithm of the discrete element method (DEM) and multi-body dynamics (MBD) with Hertz–Mindlin with JKR particle contact theory to establish a rotary blade–sandy soil model. …”
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Control Optimization of Steam Boilers via Reinforcement Learning by Emmanuel Okafor, Maad Alowaifeer

“…This study proposes a novel hybrid adaptive control framework that significantly enhances system performance by synergizing off-policy deep reinforcement learning, model reference adaptive control (MRAC), and optimized PID control through a weighted fusion strategy. …”
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Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises by Xueli Yin, Xuguang Zhang, Luyao Pei, Rong Hu, Kaihui Ye, Kangkang Cai

“…The proposed model focuses on resource scheduling optimization, task load balancing, and improvements in computational efficiency. …”
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