Suchergebnisse - Trees General Terms Algorithms Keywords Evolutionary computation*

An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection

Autoren: Joseph M. Shapiro The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Joseph M. Shapiro The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p337.pdf.

Schlagwörter: Categories and Subject Descriptors F.2 [Analysis of Algorithms and Problem Complexity, Miscellaneous, E.1 [DataStructures, Trees General Terms Algorithms Keywords Evolutionary computation, artificial immune systems, computational geometry, negative

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.3; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p337.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.3
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p337.pdf

Hybrid Optimization Approaches for Impeller Design in Turbomachinery: Methods, Metrics, and Design Strategies.

Autoren: Remache, Abel Pérez-Sánchez, Modesto Hidalgo, Víctor Hugo et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 13, p1976, 35p

Schlagwörter: COMPUTATIONAL fluid dynamics, FINITE element method, RESPONSE surfaces (Statistics), MATHEMATICAL programming, CENTRIFUGAL pumps, MACHINE learning, TURBOMACHINES, EVOLUTIONARY algorithms

A Physics-Guided Optimization Framework Using Deep Learning Surrogates for Multi-Objective Control of Combined Sewer Overflows.

Autoren: Li, Tianyu Gao, Jiabin Wang, Mengge et al.

Quelle: Water (20734441); Nov2025, Vol. 17 Issue 22, p3255, 25p

Schlagwörter: COMBINED sewer overflows, MULTI-objective optimization, RESILIENT design, PREDICTION models, GREEN infrastructure, URBAN runoff management, EVOLUTIONARY algorithms, MATHEMATICAL optimization

Predicting weaning weight in Hair goat kids: a comparative analysis of tree-based machine learning approaches using environmental and herd data.

Autoren: Esener, Necati Kal, Yavuz

Quelle: Animal Production Science. 2025, Vol. 65 Issue 9, p1-12. 12p.

Prediction of Parkinson Disease Using Long-Term, Short-Term Acoustic Features Based on Machine Learning.

Autoren: Rashidi, Mehdi Arima, Serena Stetco, Andrea Claudio et al.

Quelle: Brain Sciences (2076-3425); Jul2025, Vol. 15 Issue 7, p739, 19p

Schlagwörter: PARKINSON'S disease, MACHINE learning, PREDICTION models, PHONETICS, NEURODEGENERATION, NONINVASIVE diagnostic tests, BIOMARKERS, VOICE analysis

Global Transmission and Evolution of Chikungunya Virus: Origins, Adaptive Mutations, and Intercontinental Spread of the Three Genotypes.

Autoren: Hao, Yujia Fan, Qingmiao Yu, Fan et al.

Quelle: Transboundary & Emerging Diseases. 11/26/2025, Vol. 2025, p1-14. 14p.

Evolutionary Trajectories of Consciousness: From Biological Foundations to Technological Horizons.

Autoren: Gusev, Evgenii Sarapultsev, Alexey Komelkova, Maria

Quelle: Brain Sciences (2076-3425); Jul2025, Vol. 15 Issue 7, p734, 45p

Schlagwörter: CONSCIOUSNESS, SUBJECTIVITY, INFORMATION networks, HUMAN evolution, COMPUTATIONAL neuroscience, LIFE sciences, INFORMATION theory

Finding maximum common contractions between phylogenetic networks.

Autoren: Marchand, Bertrand Tahiri, Nadia Fard, Shohreh Golpaigani et al.

Quelle: Algorithms for Molecular Biology; 10/1/2025, Vol. 20 Issue 1, p1-30, 30p

Schlagwörter: PHYLOGENY, NP-hard problems, GRAPH theory, COMPUTATIONAL complexity

Optimal Water Quality Sensor Placement in Water Distribution Systems: A Computationally Cost-Effective Genetic Algorithm Framework.

Autoren: Zanelli, Elia Nicolini, Matteo Goi, Daniele

Quelle: Water (20734441); Sep2025, Vol. 17 Issue 18, p2786, 22p

Schlagwörter: WATER quality, SENSOR placement, POLLUTION, ENVIRONMENTAL infrastructure, GENETIC algorithms, COST effectiveness

Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to genetic study.

Autoren: Jahangiri, Mina Kazemnejad, Anoshirvan Goldfeld, Keith S. et al.

Quelle: BioData Mining; 3/19/2025, Vol. 18 Issue 1, p1-18, 18p

Schlagwörter: GENETIC profile, SINGLE nucleotide polymorphisms, AUTOREGRESSIVE models, INDEPENDENT variables, BODY mass index, REGRESSION trees

Gut Virome of Tibetan Pigs Reveals the Diversity, Composition, and Distribution of Potential Novel Viruses/Variants.

Autoren: Chen, Jiaheng Gong, Ga Huang, Shiyin et al.

Quelle: Transboundary & Emerging Diseases. 11/19/2025, Vol. 2025, p1-25. 25p.

Progress in the in vitro propagation of African swine fever virus and implications for vaccine development.

Autoren: Chailangkarn, Thanathom Thaweerattanasinp, Theeradej Wanitchang, Asawin et al.

Quelle: Animal Diseases. 10/13/2025, Vol. 5 Issue 1, p1-20. 20p.

Schlagworte: African swine fever, African swine fever virus, Vaccine development, Cell culture, Safety, Viral vaccines, Tissue culture, Biotechnology

Pattern Recognition Algorithms in Pharmacogenomics and Drug Repurposing—Case Study: Ribavirin and Lopinavir.

Autoren: Calvo, Hiram Islas-Díaz, Diana Hernández-Laureano, Eduardo

Quelle: Pharmaceuticals (14248247); Nov2025, Vol. 18 Issue 11, p1649, 29p

Schlagwörter: PHARMACOGENOMICS, DRUG repositioning, PATTERN perception, INDIVIDUALIZED medicine, COVID-19, MACHINE learning, LOPINAVIR-ritonavir, RIBAVIRIN

Analysis of Evolutionary Characteristics and Prediction of Annual Runoff in Qianping Reservoir.

Autoren: Kang, Xiaolong Yu, Haoming Yang, Chaoqiang et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 13, p1902, 20p

Schlagwörter: RUNOFF, PREDICTION models, WAVELETS (Mathematics), CLIMATE change, TIME series analysis, MACHINE learning

Validation, improvement, and data mining of machine learning predictive models for large white male turkey body weight.

Autoren: Flores, Karlinton R. Reading, Benjamin R. Grimes, Jesse L.

Quelle: German Journal of Veterinary Research. 2025, Vol. 5 Issue 3, p42-58. 17p.

Schlagworte: Machine learning, Data mining, Turkeys, Microbiota, Model validation, Body weight, Prediction models, Genetic variation

Mapping the Intellectual Structure of Computational Risk Analytics in Banking and Finance: A Bibliometric and Thematic Evolution Study.

Autoren: Trigkas, Sotirios J. Toudas, Kanellos Chasiotis, Ioannis

Quelle: Computation; Jul2025, Vol. 13 Issue 7, p172, 33p

Schlagwörter: MACHINE learning, ARTIFICIAL intelligence, FINANCIAL risk management, BANKING industry, RISK assessment, DEEP learning, FINANCIAL services industry, BIBLIOMETRICS

Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review.

Autoren: Juříček, Martin Parák, Roman Kůdela, Jakub

Quelle: Computation; Dec2023, Vol. 11 Issue 12, p245, 23p

Schlagwörter: EVOLUTIONARY computation, PLANNING techniques, EVIDENCE gaps, ROBOTICS, EVOLUTIONARY algorithms, INDUSTRIAL robots, MATHEMATICAL optimization

The path-label reconciliation (PLR) dissimilarity measure for gene trees.

Autoren: Sánchez, Alitzel López Ramírez-Rafael, José Antonio Flores-Lamas, Alejandro et al.

Quelle: Algorithms for Molecular Biology; 8/19/2025, Vol. 20 Issue 1, p1-22, 22p

Schlagwörter: PHYLOGENY, BIOINFORMATICS, MATHEMATICAL optimization

Machine Learning Models of the Geospatial Distribution of Groundwater Quality: A Systematic Review.

Autoren: Mehrabi, Mohammad Polya, David A. Han, Yang

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 19, p2861, 48p

Schlagwörter: MACHINE learning, GROUNDWATER quality, STATISTICAL reliability, PREDICTION models, SPATIAL variation, ENVIRONMENTAL risk assessment, POLLUTANTS

A Bibliometric-Systematic Literature Review (B-SLR) of Machine Learning-Based Water Quality Prediction: Trends, Gaps, and Future Directions.

Autoren: Muñoz-Alegría, Jeimmy Adriana Núñez, Jorge Oyarzún, Ricardo et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2994, 36p

Schlagwörter: MACHINE learning, GROUNDWATER quality, BIBLIOMETRICS, ENSEMBLE learning, CONTENT analysis, DEEP learning, TREND analysis