Path Planning Method for Electric Vehicles Based on Freeway Network by Qichao Liu, Wei Wang, Xuedong Hua

“…Through case analysis, the rationality and optimization efficiency of the model proposed in this paper are verified. …”
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Time-delayed vibration control and parameter optimization of semi-active vehicle suspension designed for random road excitation by Yong Guo, Yong-Jing Li, Yan-Bo Wei

“…Additionally, the optimization efficiencies for vertical seat acceleration, vertical body acceleration, suspension travel, and tire displacement are reported as 97.73%, 98.95%, 47.30%, and 46.38%, respectively.…”
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Enhanced genetic algorithm for indoor low-illumination stereo matching energy function optimization by Zhang Hongjin, Wei Hui

“…The algorithm utilizes a novel biomimetic mutation strategy, dynamically adjusted through common allelic theory, to effectively reduce the search space and improve optimization efficiency. A multi-objective genetic approach is employed, optimizing both data fidelity and smoothness to achieve balanced and accurate results. …”
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Fish Health Management Considerations in Recirculating Aquaculture Systems - Part 1: Introduction and General Principles by Roy Yanong

“…In addition, defining the primary intended use of a system will help optimize efficiency and utility in the design process. This series of circulars – Fish Health Management Considerations in Recirculating Aquaculture Systems: Parts 1, 2 and 3 – provides basic information that should assist the beginning- or intermediate-level aquaculturist interested in working successfully with recirculating systems. …”
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Does the trade of medical products contribute to promoting human development?—An empirical analysis based on data from China and RCEP countries by Liang Wu, Wenxia Liu, Jianhua Zhou, Dan Zhou, Hanjie Xiao

“…BackgroundAs the RCEP (Regional Comprehensive Economic Partnership) Agreement deepens, the role of medical product trade in safeguarding regional public health security and promoting economic development has become increasingly prominent.MethodsBased on data from 2004 to 2023, this study employs the stochastic frontier gravity model and benchmark regression model to explore the impact of China’s medical product export efficiency on the development indices of RCEP countries.ResultsThe findings are as follows: (1) China’s medical product exports to RCEP countries exhibit simultaneous scale expansion, structural differentiation, and market concentration, with ASEAN, Japan, and South Korea as core markets and mid-to-low-end products dominating the export structure; (2) Trade efficiency evolution reflects dual mechanisms of institutional environment and technological capabilities, where governance levels and health system soundness optimize efficiency, while excessive liberalization and tax burdens increase friction costs; (3) Enhanced export efficiency indirectly promotes human development in RCEP countries by strengthening basic health service coverage, forming a “trade-health-development” transmission mechanism.ConclusionTo enhance export efficiency and achieve synergistic development, we propose: (1) For policymakers: Deepen institutional coordination and establish a “trade-health” collaborative governance framework to amplify public health dividends; (2) For exporters: Implement a tiered market strategy and strengthen technological innovation to enhance industrial resilience.…”
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Creative design of digital media art based on computer visual aids by Luo Kun, Tao Ran

“…Through multistage iterative optimization, efficient art generation and personalized style customization are achieved. …”
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Time-optimal trajectory planning for excavators operating arm based on SA-PSO algorithm by ZHANG Yunyue, ZHAO Zhicheng, YANG Kai, ZHANG Yu, YANG Jiangtao

“…ObjectiveIn view of the problems of unstable operation, low optimization efficiency and falling into local optimum when optimizing the operation trajectory with a single intelligent algorithm, this paper proposes to combine simulated annealing and particle swarm optimization (SA-PSO) to perform optimal time planning for the excavation task trajectory of the excavator operating arm.MethodsFirstly, in the D-H coordinate system, the mechanism diagram of the excavator operating arm is constructed to establish its kinematic model; secondly, the 4-3-3-3-4 piecewise polynomial is used for interpolation, and the SA-PSO algorithm is used to optimize the high-efficiency excavation task trajectory under the constraints of joint velocity and acceleration; finally, under the same operation task, the differential evolution algorithm (DE) and particle swarm optimization algorithm (PSO) are used in turn to obtain the time optimal trajectory.ResultsThe experimental results show that the optimal time trajectory obtained by the hybrid algorithm has shorter operation efficiency and the smallest impact, which can effectively reduce the wear of each joint hydraulic cylinder. …”
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Optimization of non-smooth functions via differentiable surrogates. by Shikun Chen, Zebin Huang, Wenlong Zheng

“…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …”
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Structural strength analysis and optimization of converter lug based on Kriging model by HE Guanqiang, LIU Yongjiang, LI Hua, CHEN Liming

“…As a result, for using traditional engineering optimization methods to optimize the converter structure, the optimization efficiency will be severely limited, since these methods need to invoke a large amount of simulations as function evaluations. …”
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Dynamic subgraph pruning and causal-aware knowledge distillation for temporal knowledge graphs by Qian Liu, Siling Feng, Mengxing Huang

“…A gradient-sensitive graph attention mechanism alleviates semantic conflicts by adjusting node weights based on gradient norms, allowing the model to focus on conflict-free patterns. To optimize efficiency, DynTKG employs rule-guided contrastive knowledge distillation, transferring knowledge from a hybrid neural-symbolic teacher model to a lightweight student model, achieving significant compression with minimal performance loss. …”
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Dynamic Inductor Switching and Frequency Control to Enhance Efficiency in Buck Converters for CubeSat EPS by Francesco Rocco Nardelli, Giuseppe Coviello, Giuseppe Brunetti, Caterina Ciminelli

“…This paper introduces a versatile POL converter architecture based on switched inductors and switching frequency adjustment, aiming to optimize efficiency under different operating conditions. …”
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Path planning of unmanned ships based on A* and dynamic window approach by FU Long, SHEN Zhen, TAO Hao, HAN Yunjun, DONG Xisong, XIONG Gang

“…To address the challenge of balancing global optimization, efficiency, and safety in path planning, a method that integrates global search and local optimization was proposed, based on the A* algorithm and the dynamic window approach (DWA). …”
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Research on multi-objective optimization design for high-precision turning-milling machine tool bed based on taguchi method -FEA by Hongyi Wu, Haozhen Li, Xuanyi Wang, Junshou Yang, Runze Jiang, Xiaolei Deng, Jianchen Wang

“…Compared with the traditional research methods for optimizing machine tool beds, the FEA technology can handle more complex geometric shapes and boundary conditions, improve the accuracy and reliability of data, and enhance the optimization efficiency through the Taguchi method, achieving multi-objective joint optimization. …”
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Intelligent energy management of microgrids using machine learning: Leveraging random forest models for solar and wind power by Hasanur Zaman Anonto, Md Ismail Hossain, Abu Shufian, Md. Shaoran Sayem, S M Tanvir Hassan Shovon, Protik Parvez Sheikh, Sadman Shahriar Alam

“…Simulation findings suggest that a straightforward rule-based storage-dispatch plan, with the embrace of accurate forecaster, reduces peak grid imports by 18 % and the imported energy per day by 11 %, thus, passes significant cost optimization. Efficiency of microgrids is further promoted by the inclusion of demand-response mechanisms and predictive storage optimization. …”
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Double-path multiscale adaptive compressed sensing network for electronic data by Lubin Yu, Yongsheng Huang, Yiqiang Cheng, Qiliang Du, Zhenwei Zhou, Lianfang Tian, Shilie He, Honghui Liu

“…Nonetheless, the existing deep learning-based CS methods are not optimally efficient for electronic data processing. In this regard, this study proposes a novel double-path multiscale adaptive compressed sensing network (DMA-CS). …”
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An integrated deep convolutional neural networks framework for the automatic segmentation and grading of glioma tumors using multimodal MRI scans by Otung John Peter Odong, Mohammed Abo-Zahhad, Moataz Abdelwahab

“…EfficientNetB2 surpassed other models across all evaluation metrics, achieving 99.19% test accuracy, 99.17% precision, 98.94% sensitivity, 99.57% specificity, and 99.06% F1-score. The optimal EfficientNetB2 model was subsequently utilized to grade tumors identified by the segmentation network. …”
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Prioritized Multi‐Step Decision‐Making Gray Wolf Optimization Algorithm for Engineering Applications by Idriss Dagal, Alpaslan Demirci, Ambe Harrison, Wulfran Fendzi Mbasso, Said Mirza Tercan, Burak Akın, Kürşat Tanriöven, Havva Aysun Sezgin Köksal, Ahmet Nayir

“…ABSTRACT This article introduces the Prey‐Movement Strategy Gray Wolf Optimizer (PMS‐GWO), an enhanced version of the Gray Wolf Optimizer (GWO) designed to improve optimization efficiency through a novel multi‐step decision‐making process. …”
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Dynamic Simulation of Ground Braking Force Control Based on Fuzzy Adaptive PID for Integrated ABS-RBS System with Slip Ratio Consideration by Pinjia Shi, Yongjun Min, Hui Wang, Liya Lv

“…These improvements allow for highly accurate replication of dynamic slip ratio variations, establishing a refined laboratory-grade solution for EV regenerative braking coordination validation that greatly enhances strategy optimization efficiency.…”
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Theoretical and experimental investigation of a CuO and graphene embedded polyethylene oxide counter electrode for efficient DSSCs by Hend A. Ezzat, Hanan Elhaes, Medhat A. Ibrahim, M. Abdelhamid Shahat

“…Abstract Dye-sensitized solar cells (DSSCs) have garnered significant attention due to their cost-effectiveness and ease of fabrication; however, the performance of counter electrodes (CEs) remains a critical factor in optimizing efficiency. In this study, we investigate the synergistic role of a polyethylene oxide (PEO)/copper oxide (CuO)/graphene (G) composite (PEO/CuO/G) as a CE for DSSCs, employing both theoretical modeling and experimental validation. …”
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