Degradation of tartrazine dye using advanced oxidation process: Application of response surface methodology for optimization by Fetcia Jackulin, P. Senthil Kumar, Gayathri Rangasamy

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A diffractometer project for Brazilian Multipurpose Reactor (RMB): McStas simulations and instrument optimization by Alexandre Pinho dos Santos Souza, Luiz Paulo de Oliveira, Fabiano Yokaichiya, Frederico Antonio Genezini, Margareth Kazuyo Kobayashi Dias Franco

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Dual-Domain Synergistic Optimization for Dynamic Reliability Enhancement of Towering Structures in Nonstationary Wind Fields by Leilei Wang, Siyu Wu, Jiaxing Pei, Xinjia Meng

“…We propose a wind spectrum–response surface dual-domain coupling method to study the reliability optimization of tall structures under the action of unsteady wind fields. …”
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A New 13-Level Flying Capacitor-based 1-φ Inverter with Full Reactive Power Support by Jaber Fallah Ardashir, Mahdi Gasemi, Behrouz Rozmeh

“…The optimal capacitors are designed for minimum voltage drop in the different loads. …”
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Robust Optimization for Cooperative Task Assignment of Heterogeneous Unmanned Aerial Vehicles with Time Window Constraints by Zhichao Gao, Mingfa Zheng, Haitao Zhong, Yu Mei

“…We conduct a series of numerical experiments to compare the optimization results across different objectives, including maximizing task profit, minimizing total distance, minimizing makespan, and incorporating three different time window constraints. …”
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Prediction and Optimization of Damper Winding Structural Parameters for Salient-Pole Synchronous Generators With Rectifier Load by Meijun Qi, Jiakuan Xia, Le Kang, Menglin Song

“…To study the impact of damper winding, a prediction and optimization method based on the combination of neural network approximation model and multi-objective optimization is proposed in this paper. …”
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Identification of Road Black Spots Based on the Sliding Window Optimization and Safety Performance Function Development by Shahin Shabani, Jalal Ayoubinejad, Nassir Baradaran Rahmanian

“…This research proposes a new method that optimizes the sliding window framework by examining its characteristics. …”
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Blast-Casting Mechanism and Parameter Optimization of a Benched Deep-Hole in an Opencast Coal Mine by Li Ma, Xingping Lai, Jianguo Zhang, Shuangshuang Xiao, Leiming Zhang, Yuhang Tu

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Application research of convolutional neural network and its optimization in lightning electric field waveform recognition by Caixia Wang, Xiaoyi Zhang, Hui Yang, Jinyuan Guo, Jia Xu, Zhuling Sun

“…The effects of various optimization terms and their different optimization orders on the training time of the model were studied. …”
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Thermo-elastic topology optimization and experimental characterization for multiphase structure with high thermal stiffness invariability by Yiming Fan, Guangkai Wei, Yuan Chen

“…In this study, we propose a multiphase structure with high thermal stiffness invariability (HTSI) and develop a method to topologically design such a structure using discrete material optimization (DMO). …”
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Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

“…While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method,  for which the objective function is maximization of entropy, edge strength and pixel intensity. …”
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Optimizing Chlorophyll-a Concentration Inversion in Coastal Waters Using SVD and Deep Learning Approach by Lili Zhan, Yongxin Xu, Jinshan Zhu, Zhangshuo Liu

“…Other machine learning methods, such as random forest (RF) and the support vector machine (SVM) are also used to establish the inversion models for the comparison. …”
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Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration by Zhiping Chen, Jia Zhang, Daren Zhang, Xiaolin Chang, Wei Zhou

“…The model integrates multi-source data from the Lattice Boltzmann Method (LBM), Pore Network Modeling (PNM), and Finite Difference Method (FDM). …”
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Optimization of Urban Rail Transit Train Stock Utilization under Re-coupling Operation Mode by DENG Chengyuan, LU Jinsheng, ZHU Changfeng, SUN Yuanguang, MA Bin

“…［Result & Conclusion］ The optimized train stock utilization scheme of urban rail transit under the re-coupling operation mode can reasonably optimize the connection between different marshalling train trips and reduce the operation costs for enterprises.…”
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Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…To fine-tune model parameters efficiently, the method incorporates the Chaotic Billiards Optimizer (CBO) alongside the Adam optimizer. …”
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Coordinated Optimization and Operational Strategy for Multi-type Energy Storage in Regional Integrated Energy Systems by Mingfei GAO, Zhonghe HAN, Bin ZHAO, Peng LI, Di WU

“…To address the operational optimization issues of multiple heterogeneous energy in regional integrated energy systems, a coordinated operational optimization method for multi-energy storage systems aimed at multi-energy synergistic supply is proposed. …”
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Optimization of the Hollow Rectification Sill in the Forebay of the Pump Station Based on the PSO-GP Collaborative Algorithm by Wang Xi, Weigang Lu, Chuan Wang, Bo Xu

“…Its hole-to-height ratio is 0.62, its hole-to-width ratio is 0.37, upper-to-lower sill length ratio is 0.63, and sill height-to-water table ratio is 0.23. It shows that this method is practical in the optimization design of the hollow rectification sill and provides a new method for the optimization of the flow field in the forebay of the pump station.…”
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Carbon Emission Prediction of Freeway Construction Phase Based on Back Propagation Neural Network Optimization by Lin Wang, Jiyuan Zhu, Haoran Zhu, Wencong Xu, Zihao Zhao, Xingli Jia

“…By utilizing the grey relational analysis method, we assessed the degree of association between various indicators and carbon emissions, identifying the primary indicators influencing carbon emissions. …”
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Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation by Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian

“…Many optimization problems have become increasingly complex, which promotes researches on the improvement of different optimization algorithms. …”
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Optimization of energy acquisition system in smart grid based on artificial intelligence and digital twin technology by Zhen Jing, Qing Wang, Zhiru Chen, Tong Cao, Kun Zhang

“…Abstract In response to the low operating speed and poor stability of energy harvesting systems in smart grids, an energy harvesting optimization method based on improved convolutional neural networks and digital twin technology is proposed in the experiment. …”
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