Enhancing fairness in disease prediction by optimizing multiple domain adversarial networks. by Bin Li, Xiaoqian Jiang, Kai Zhang, Arif O Harmanci, Bradley Malin, Hongchang Gao, Xinghua Shi, Alzheimer’s Disease Neuroimaging Initiative

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The Improved Antlion Optimizer and Artificial Neural Network for Chinese Influenza Prediction by Hongping Hu, Yangyang Li, Yanping Bai, Juping Zhang, Maoxing Liu

“…Aiming at the shortcoming that ALO has unbalanced exploration and development capability for some complex optimization problems, inspired by the particle swarm optimization (PSO), the updated position of antlions in elitism operator of ALO is improved, and thus the improved ALO (IALO) is obtained. …”
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Multi-Parameter Optimization of Angle Transmission Ratio of Steer-by-Wire Vehicle by Wenguang Liu, Suo Liu, Huajun Che, Xi Liu, Hua Ding

“…The new control strategy uses a genetic algorithm to optimize the yaw rate and lateral acceleration gain values at different speeds, and the two are weighted. …”
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Fuzzy Clustering Approaches Based on Numerical Optimizations of Modified Objective Functions by Erind Bedalli, Shkelqim Hajrulla, Rexhep Rada, Robert Kosova

“…These modifications include several regularization terms aiming to make the algorithm more robust in specific types of datasets. …”
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FATIGUE LIFE ANALYSIS AND OPTIMIZATION DESIGN OF VEHICLE HORIZONTAL STABILIZER BAR by XU QiYing, ZHONG ZiFeng

“…And then the horizontal stabilizer bar was multi-objective optimization analysised by adopting Isight optimization integration platform, its optimal diameter was obtained, its fatigue performance meets the design requirements after optimization. …”
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Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect by Li Jie, Lian Hailong, Lan Hai, Wang Zhiyong

“…In order to realize the accurate prediction of the drag torque of the flow field with the complex trench structure, a method is proposed to optimize the drag torque model by predicting the volume fraction of the cavitation effect through the cavitation number aiming for the prediction error caused by the air entering the flow field in advance. …”
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Cluster Path Planning Method in Mountainous Areas Based on Optimal Timeliness by Zhufeng Shao, Dunwei Gong, Chuansheng Liu

“…This study addresses the path planning problem of road roller unmanned aerial vehicle swarms in mountainous terrains, aiming to improve compaction and optimize operational efficiency. …”
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Optimal Computation Offloading Decisions Based on System Utility and Cost Balance by Bingxue Zhang, Xisheng Li, Jia You

“…Experiments conducted in a simulation based on the edge system of an industrial park verified that the cost-utility balanced optimization model achieves at least 7% reduction in the cost-utility ratio across varying user scales compared to traditional cost optimization models, while achieving over 20% reduction in optimization efficiency under different edge server scales. …”
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Generative design and multi-objective optimization for enhanced building thermal performance by Omar Ain, Husam B. Khalil, Maryam El-Maraghy, Mohamed Marzouk

“…This research proposes a framework that generates multiple building design alternatives for residential urban typologies, aiming to optimize thermal performance parameters by focusing on decreasing Incident Radiation (IR) while increasing the Shadow Area of the building, Vegetation Area (VA), and carbon dioxide (CO2) Reduction rate. …”
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Airfoil Optimization and Analysis Using Global Sensitivity Analysis and Generative Design by Pablo Rouco, Pedro Orgeira-Crespo, Guillermo David Rey González, Fernando Aguado-Agelet

“…This research investigates the optimization of airfoil design for fixed-wing drones, aiming to enhance aerodynamic efficiency and reduce drag. …”
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Optimizing SVM Performance through Combinatorial Hyperparameter Tuning and Model Selection by Hassan Tariq, Mehwish Majeed, Mueed Ahmad

“…Our contribution lies in the development of a framework that combines combinatorial hyperparameter tuning and model selection, aiming to optimize SVM performance and predictive capabilities. …”
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Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis by Leonel J. R. Nunes, Sandra Silva

“…<i>Background</i>: This study investigates the vital significance of logistical cost optimization within the residual woody biomass supply chain, aiming to boost both sustainability and the efficient utilization of this resource. …”
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Route Optimization for UGVs: A Systematic Analysis of Applications, Algorithms and Challenges by Dario Fernando Yépez-Ponce, William Montalvo, Ximena Alexandra Guamán-Gavilanes, Mauricio David Echeverría-Cadena

“…Fifty-seven percent of the recent studies focus on UGV optimization, with prominent applications in agriculture, aiming to maximize efficiency and reduce costs. …”
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Efficient design of Voronoi energy-absorbing foams using Bayesian optimization by Youngtaek Oh, Byungjo Kim, Hayoung Chung

“…Recently, many studies have increasingly focused on developing bio-inspired structures, leveraging their lightweight and high-energy absorption properties, which are crucial across many engineering fields. Structural optimization aiming for bio-inspired structures having superior energy absorption capability, however, has been considered a challenging problem. …”
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Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…Results This technique harnesses the optimization capabilities of the improved salp swarm algorithm (ISSA) to intelligently allocate computing tasks between mobile devices and the cloud, aiming to concurrently minimize energy consumption, and memory usage, and reduce task completion delays. …”
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An improved particle swarm optimization for multilevel thresholding medical image segmentation. by Jiaqi Ma, Jianmin Hu

“…Aiming at the drawbacks of premature convergence of existing optimization algorithms for high-bit depth image segmentation, this paper presents a pyramid particle swarm optimization based on complementary inertia weights (CIWP-PSO), and the Kapur entropy is employed as the optimization objective. …”
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Many objective optimization and decision support for dairy cattle feed formulation by Member Joy Usigbe, Daniel Dooyum Uyeh, Tusan Park, Yushin Ha, Rammohan Mallipeddi

“…This study proposes a many-objective optimization approach to solving the feed formulation problem and addressing this challenge. …”
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Study on Arrival Aircraft Sequencing Based on Optimization of Point Merge Procedure by Yong Tian, Can Xu, Mengyuan Sun, Chao Li, Ruofei Sun

“…Under the background of the rapid promotion of Point Merge (PM) procedure program in the busy TMAs in the world, this paper firstly combines the optimization of PM procedure and arrival aircraft sequencing, aiming to maximize the operational benefits of arrival aircraft in TMA. …”
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An Optimization Method for Indoor Pseudolites Anchor Layout Based on MG-MOPSO by Xiaohu Liang, Shuguo Pan, Shitong Du, Baoguo Yu, Shuang Li

“…The algorithm leverages a minimum geometric dilution of precision (GDOP) configuration to optimize anchor deployment, aiming to meet the high-precision requirements of indoor pseudolite positioning systems. …”
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Ship pipeline collaborative layout optimization based on EPA-star algorithm by Zhiyao YANG, Hongshuo ZHANG, Yan LIN

“…ObjectivesAiming to overcome the efficiency and engineering practicality issues of existing pipeline layout design methods, this study explores a high-efficiency EPA-star (escape pruning A-star algorithm) for pipeline layout optimization.MethodThe layout space is discretized based on the escape graph method, the resulting connection points are stored as the adjacency table, the estimated traversal cost and penalty function are introduced to reduce the bending and folding phenomenon in the path, and the path is pruned to improve the quality of paths in the case of large spans. …”
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