Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

“…It also shows that the algorithm improves the generalization ability and performance of the model.…”
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Application of Multi-Objective Optimization for Path Planning and Scheduling: The Edible Oil Transportation System Framework by Chin S. Chen, Chia J. Lin, Yu J. Lin, Feng C. Lin

“…The method employs the A* and Dijkstra pathfinding algorithm to determine the shortest pipeline route for each task, and estimates pipeline resource usage to derive a node cost weight function. …”
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Enhanced Search Spring Algorithm for Green Agri-Food Supply Chain Network Design by Xiaoya Hu

“…In light of these challenges, this study presents a new Enhanced Search Spring Algorithm (ESSA), which optimizes GASCN by minimizing total transportation costs and is characterized by improved solution quality and computational efficiency. …”
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Multi-objective DG placement in radial distribution systems using the IbI logic algorithm by Nitin Saxena, M Pandit, L Srivastava

“…This paper presents a unique optimization method based on the incomprehensible but intelligible-in-time (IbI) logic algorithm (ILA) to optimally place dispersed generators in small, medium, large, and very large (16-, 33-, 69-, and 118-bus) radial distribution power networks to reduce power losses, the total operating cost, and the voltage deviation and improve the voltage level. …”
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Improved Particle Swarm Optimization Algorithm Optimize the Control Strategy of Family Energy Management System by WEI Qi, LI Shi-nan, ZHU Ying-ying

“…In order to better respond accding to the demand of TOU price control project management of family family load and energy，put forward the household electricity load control strategy，based on analysis of the existing household electricity load control strategies，using improved particle swarm optimization algorithm for the control strategy optimization target，the establishment of a single-user，multi-user household electricity control optimization model，In the MATLAB platform，the results of optimization algorithm are analyzed by simulation. …”
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Multi-Objective Evolution and Swarm-Integrated Optimization of Manufacturing Processes in Simulation-Based Environments by Panagiotis D. Paraschos, Georgios Papadopoulos, Dimitrios E. Koulouriotis

“…Multiple objective functions are formulated to optimize the behavior of the system by reducing the work-in-progress items and improving both cost-effectiveness and service level. …”
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Optimization of delivery routes for takeout under time-varying road networks by Jiaci Wang, Liang Huang, Yuanqiao Wen, Yamin Huang, Man Zhu

“…This model is designed to effectively optimize the delivery plan, achieving a balance between delivery costs and customer satisfaction. …”
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Dynamic Path Optimization Based on Improved Ant Colony Algorithm by Juan Cheng

“…Aiming at the shortcomings of the current dynamic path optimization method, the improved ant colony algorithm was used to optimize the dynamic path. …”
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Using BERT and ZFNet/ELM optimized by improved Orca optimization algorithm for sentiment analysis by Jun Yang, Jafar Safarzadeh

“…Then, the data were inserted into ZFNet/ELM, which was optimized by Improved Orca Optimization Algorithm (IOPA). …”
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Multi-Objective Optimal Allocation of Regional Water Resources Based on the Improved NSGA-III Algorithm by Yuhao Wang, Yi Wang, Bin He

Subjects: “…improved NSGA-III algorithm…”
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Proposing an Improved Version of the Bat Algorithm by Davar Giveki, Javad Ebrahimi, Maryam Sarshar

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Multi-objective programming method for ship weather routing based on fusion of A* and NSGA-II by Yuankui LI, Jiyuan SUO, Dongye YU, Xinyu ZHANG, Fang YANG, Xuefeng YANG

“…ResultsThe simulation results demonstrate that the proposed model and algorithm can obtain a uniformly distributed and diversified Pareto optimal route set. …”
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A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment by Himani Saini, Gopal Singh, Sandeep Dalal, Iyyappan Moorthi, Sultan Mesfer Aldossary, Nasratullah Nuristani, Arshad Hashmi

“…The model combines k-anonymity for user privacy, an optimized Firefly algorithm for trust generation, and a Time-aware Modified Best Fit Decreasing (T-MBFD) algorithm to improve resource allocation efficiency. …”
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Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting by Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi

“…To address the performance limitations of Spiking Neural Networks (SNNs) caused by hyperparameter sensitivity, this study proposes an SNN model optimized by an Improved Cuckoo Search (ICS) algorithm (termed ICS-SNN). …”
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Research on the application of a model combining improved optimization algorithms and neural networks in trajectory tracking of robotic arms by Yanhui Lai, Zuobing Chen, Ya Mao

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Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm by Sandeep Samantaray, Abinash Sahoo, Falguni Baliarsingh

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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

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Vehicle scheduling optimization for demand responsive transit with flexible stops by SHEN Zikang, JIN Wenzhou, ZHENG Yajing

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Position Deployment Optimization of Maneuvering Conventional Missile Based on Improved Whale Optimization Algorithm by Yaxiong Li, Xinwei Zhang, Jiufen Zhao, Xinzhi Yang, Mingyuan Xi

“…The diversity mutation operation is carried out on the optimal individual to reduce the probability of premature convergence of the algorithm, and the improved whale algorithm is used to solve the optimization model. …”
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Enhancing crane and gate OCR efficiency at container terminal using a hybrid genetic algorithm and neural network model: case study of tangier med port by Hamza Garmouch, Otman Abdoun

“…The research incorporates a hybrid GA-Neural Network (NN) model further, using machine learning to speed up fitness evaluation and provide optimal settings for OCR performance improvement that is applicable in real world. …”
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