Mass, Luminosity, and Stellar Age of Early-type Stars from the LAMOST Survey by Qida Li, Jianping Xiong, Jiao Li, Yanjun Guo, Zhanwen Han, Xuefei Chen, Chao Liu

“…The results demonstrate that the prediction precision is 32% and 9% for L and M , respectively, which is comparable to that achieved by fitting evolutionary tracks. Furthermore, the predicted L also aligns with Gaia’s observations, with a relative difference of 36%. …”
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Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory. by Heshuai Shen

“…It compares the similarities and differences between fuzzy mathematical scheduling solutions and other scheduling solutions. …”
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Design Automation of Sheet Materials Cutting Maps in a Production by A. I. Yakimov, D. A. Denisevich, E. A. Yakimov

“…The application implements deterministic algorithms and an evolutionary (genetic) cutting algorithm. …”
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Generative design optimization of tree distribution for enhanced thermal comfort in communal spaces with special reference to hot arid climates by Ahmed Maged, Aly Abdelalim, Abdelaziz Farouk A. Mohamed

“…Secondly, a generative design tool with a Dynamo evolutionary algorithm is utilized to optimize the tree distribution across the communal areas of these three spaces considering the current built environment. …”
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Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users by Christopher Meaney, Xuesong Wang, Jun Guan, Therese A. Stukel

“…Models were separately trained using nine different HPO methods: 1) random sampling, 2) simulated annealing, 3) quasi-Monte Carlo sampling, 4-5) two variations of Bayesian hyper-parameter optimization via tree-Parzen estimation, 6-7) two implementations of Bayesian hyper-parameter optimization via Gaussian processes, 8) Bayesian hyper-parameter optimization via random forests, and 9) the covariance matrix adaptation evolutionary strategy. …”
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A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Mingxin Zhu, Yongxuan Yao, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

“…We then conduct a comparative analysis of the parameter optimization results of DWFO and seven other state-of-the-art algorithms across six different photovoltaic models. …”
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Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. by Liam Brierley, Anna Fowler

“…However, different composition biases were informative in each case. …”
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Cancer phylogenetic inference using copy number alterations detected from DNA sequencing data by Bingxin Lu

“…The challenges are discussed from the aspects of input data, models of evolution, and inference algorithms. The different methods are grouped according to the markers used for inference and the types of the reconstructed trees. …”
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Bats of a feather: Range characteristics and wing morphology predict phylogeographic breaks in volant vertebrates by Sydney K. Decker, Kaiya L. Provost, Bryan C. Carstens

“…Monmonier’s maximum differences algorithm can be employed to estimate phylogeographic breaks using georeferenced sequence data. …”
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Dynamic Adaptive Environmental Flows (DAE‐Flows) to Reconcile Long‐Term Ecosystem Demands With Hydropower Objectives by Ana Paula Dalcin, Guilherme Fernandes Marques, Amaury Tilmant, Marcelo Olivares

“…The methodology framework combines a fish‐flow model with a multi‐objective evolutionary algorithm to construct multiple environmental water demand curves and capture the opportunity cost of different levels of ecosystem preservation. …”
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Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model by Bin Yuan, Hui Li, Xuewei Xiang, Hao Zhou

“…The optimal design scheme after global optimization is quickly solved by the evolutionary algorithm. Finally, the effectiveness of the proposed method is verified through simulation and prototype experiments.…”
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Full-chain comprehensive assessment and multi-scenario simulation of geological disaster vulnerability based on the VSD framework: a case study of Yunnan province in China by Li Xu, Shucheng Tan, Runyang Li

“…Using various mathematical models, the spatial differentiation and evolutionary trends of GDV in Yunnan Province from 2000 to 2020 were quantitatively analyzed. …”
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Mapping the dynamics of aquatic vegetation in Lake Kyoga and its linkages to satellite lakes by Yaxiong Ma, Sucharita Gopal, Magaly Koch, Les Kaufman

“…Third, an algorithm is developed to separate the floating vegetation from emergent vegetation; this algorithm uses Landsat spectral bands and two additional spatial and temporal metrics that considerably improve classification accuracy. …”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Did morphological changes occur similarly in different regions with different palaeoenvironments on the Laurentian plate? …”
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HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…In the temporal dimension, the changes of PAUs are captured through the evolutionary relationships of nodes between different time windows. …”
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PhyloFunc: phylogeny-informed functional distance as a new ecological metric for metaproteomic data analysis by Luman Wang, Caitlin M. A. Simopoulos, Joeselle M. Serrana, Zhibin Ning, Yutong Li, Boyan Sun, Jinhui Yuan, Daniel Figeys, Leyuan Li

“…On the functional dimension, metaproteomics data can be used to quantify beta-diversity to understand how microbial community functional profiles vary under different environmental conditions. Conventional approaches to metaproteomic functional beta-diversity often treat protein functions as independent features, ignoring the evolutionary relationships among microbial taxa from which different proteins originate. …”
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Collaborative swarm robotics for sustainable environment monitoring and exploration: Emerging trends and research progress by Belkacem Khaldi, Fouzi Harrou, Ying Sun

“…The second collection, consisting of around 198 papers, examines the different swarm and evolutionary computing algorithms employed in this niche area, identifying ten significant research clusters. …”
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Insights into Optimal Schemes of Radial Network Arch Pedestrian Bridge by Rimantas Belevičius, Dainius Rusakevičius, Saulius Valentinavičius

“…Mathematically, this is a constrained mixed-integer global optimization problem solved by a stochastic evolutionary algorithm. Plane light-deck bridges of typical moderate 30, 45, 60, 75, and 90 m spans were optimized. …”
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The Core Mass Function across Galactic Environments. IV. The Galactic Center by Alva V. I. Kinman, Maya A. Petkova, Jonathan C. Tan, Giuliana Cosentino, Yu Cheng

“…We compare our results to several other CMFs from different Galactic regions derived with the same methods. …”
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Predicting phage-host interaction via hyperbolic Poincaré graph embedding and large-scale protein language technique by Jie Pan, Rui Wang, Wenjing Liu, Li Wang, Zhuhong You, Yuechao Li, Zhemeng Duan, Qinghua Huang, Jie Feng, Yanmei Sun, Shiwei Wang

“…Existing computational tools often fail to accurately identify phages across different bacterial species. In this study, we present GE-PHI, a machine-learning-based model for predicting phage-host interactions (PHIs) by integrating knowledge graph embedding algorithm with a large-scale protein language model. …”
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