Optimizing Curriculum for Students: A Machine Learning Approach to Time Management Analysis by Jianmin Dong

“…Additionally, Tasmanian Devil Optimization (TDO) and Equilibrium Slime Mould Algorithm (ESMA) are integrated to enhance the accuracy of both XGBC and HGBC models. …”
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Improving Forecasts of the EGARCH Model Using Artificial Neural Network and Fuzzy Inference System by Geleta T. Mohammed, Jane A. Aduda, Ananda O. Kube

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Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database by I. I. Mikulik, G. M. Zharinov, A. Yu. Kneev

“…The quality of training of the Cox model was assessed by C-index.Results. A metaheuristic algorithm for ant pollinator optimizing was proposed, providing for the construction of hazard functions of the extended Cox model. …”
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Improvement of Assemble-to-Order Model Processes With Process Mining: Dynamic Analysis and Hybrid Approaches by Ufuk Celik, Yuksel Yurtay

“…Insights derived from the analysis informed actionable recommendations to optimize production workflows. This study demonstrates the potential of hybrid process mining techniques for understanding and improving ATO systems, offering a dynamic and scalable framework for addressing inefficiencies in similar production models.…”
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Optimization design of cross border intelligent marketing management model based on multi layer perceptron-grey wolf optimization convolutional neural network by Zongping Lin, Jing Yang, Yabin Lian, Yanhong Chen, Zhonghui Huang, Kexin Ning

“…Experiments were conducted using a real cross-border e-commerce dataset, and the results showed that compared with traditional recommendation algorithms, the MLP-GWO-CNN model proposed in this paper performs better in utilizing user tag information, effectively improving the accuracy and personalization of marketing recommendations. …”
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A Real-time Speed Profile Planning Algorithm for Freight Trains Based on Neural Network by ZHU Yuqing, BAI Baoxue, CHEN Honghui, CHEN Nankuang, WANG Qingyuan

“…Firstly, the algorithm determines the input and output forms of the neural network model by analyzing the optimization results of the quadratic programming, and then trains the neural network model with a large number of optimization results as sample data to determine the structure and weights of the model. …”
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Optimized Adaptive Fuzzy Synergetic Controller for Suspended Cable-Driven Parallel Robots by Yasser Hatim Alwan, Ahmed A. Oglah, Muayad Sadik Croock

“…The parameters of the controller are optimized using the Dragonfly Algorithm, a metaheuristic technique known for its simplicity and fast convergence. …”
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Revolutionizing Electric Vehicle Charging Stations with Efficient Deep Q Networks Powered by Multimodal Bioinspired Analysis for Improved Performance by Sugunakar Mamidala, Yellapragada Venkata Pavan Kumar, Rammohan Mallipeddi

“…This paper proposes a novel framework that integrates deep Q networks (DQNs) for real-time charging optimization, coupled with multimodal bioinspired algorithms like ant lion optimization (ALO) and moth flame optimization (MFO). …”
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Improved double DQN with deep reinforcement learning for UAV indoor autonomous obstacle avoidance by Ruiqi Yu, Qingdang Li, Jiewei Ji, Tingting Wu, Jian Mao, Shun Liu, Zhen Sun

“…The algorithm enhances the perception and learning capabilities by optimizing the network model and employs a dynamic exploration strategy that encourages exploration in the early stage and reduces it later to accelerate convergence and improve efficiency. …”
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Brown bear optimized random forest model for short term solar power forecasting by Rathika Senthil Kumar, P.S. Meera, V. Lavanya, S. Hemamalini

“…To further improve the accuracy of the RF model, the hyperparameters of the random forest model are tuned using brown bear optimization algorithm (BBOA). …”
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Path Optimization Model for Urban Transportation Networks under the Perspective of Environmental Pollution Protection by Can Liu, Zongping Li, Yueyang Li

“…Finally, the improved particle swarm optimization algorithm is used to solve the two-objective model to obtain the Pareto front solution set, that is, the path scheme under real-time traffic conditions. …”
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Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach by Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma

“…This framework employs a tree model-based feature selection method to identify critical features, reducing redundancy and improving model interpretability. …”
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Improved Correlation of Oil Recovery Factor for Water Driven Reservoirs in the Niger Delta by Ayodele Daniel, Faisal Olasubomi Olanipekun, Sunday Oloruntoba Isehunwa

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Mesosphere data assimilation based on the intelligent optimization of the uncertainty parameters in a theoretical model by Dexin Ren, Jiuhou Lei, Xuetao Chen, Tong Dang, Yu Liu

“…In this study, we conducted an intelligent optimization particle filtering algorithm to optimize the uncertainty parameters in a physics-based model, which was used to simulate the terrestrial mesosphere. …”
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System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model by Jiaonan Han

“…Aiming at the algorithm’s shortcomings in solving big data, this study will improve the algorithm through the MapReduce programming model to achieve parallelization of the process and construction of the function. …”
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GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection by Zhiming Zhang, Chaoyi Dong, Ze Wei, Xiaoyan Chen, Weidong Zan, Yao Xue

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Artificial Flora Algorithm-Based Feature Selection With Support Vector Machine for Cardiovascular Disease Classification by M. M. Asha, G. Ramya

“…This approach utilizes the Cleveland dataset by combining the Artificial Flora Optimization algorithm with the Support Vector Machine. …”
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Enhanced probabilistic prediction of pavement deterioration using Bayesian neural networks and cuckoo search optimization by Feng Xiao, Biying Shi, Jie Gao, Huapeng Chen, Di Yang

“…Therefore, this study proposed an improved probabilistic model for pavement deterioration prediction based on the coupling of Bayesian neural network (BNN) and cuckoo search (CS) algorithm. …”
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Optimization of integrated energy system considering P2G oxygen-enriched improvement and hybrid solar energy utilization by Xiaohui YANG, Zhao WAN, Riying XIAO, Zeyu YANG, Zecheng HU, Chilyu WU

“…Secondly, because the boiler efficiency is affected by the oxygen concentration, the optimal oxygen supply state for each period of the oxygen-consuming equipment is determined by a combined algorithm of genetic algorithm and Gurobi solver. …”
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A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation by Xinyu Yin, Xiaoyan Bian, Qinran Zhu, Jinbin Zhao, Shunfu Lin, Kwok L. Lo

“…Therefore, a bilevel operation-planning joint optimization model for flexible capacity allocation is proposed in this paper. …”
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