Search Results - algorithm parameters

A stochastic approach for parameter optimization of feature detection algorithms for non-target screening in mass spectrometry

Authors: Sadia, Mohammad Boudguiyer, Youssef Helmus, Rick et al.

Source: Analytical and Bioanalytical Chemistry. 417(27):6033-6047

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-54923
https://doi.org/10.1007/s00216-024-05425-3

Influence of Genetic Algorithm Parameters on Their Performance for Parameter Identification of a Yeast Fed-batch Fermentation Process Model

Authors: Maria Angelova Tania Pencheva

Source: International Journal Bioautomation, Vol 28, Iss 4, Pp 233-244 (2024)

Subject Terms: parameter identification, QH301-705.5, saccharomyces cerevisiae, Biology (General), single genetic algorithms, multi-population genetic algorithms, fed-batch fermentation process model

Access URL: https://doaj.org/article/a1ff46b035c743fa857e2d6d94c33be0

Control Algorithm Parameters Selection for a Three-Axis Magnetic Attitude Control System in the Presence of Disturbances

Authors: A. Drobysheva S. Tkachev

Source: Cosmic Research. 63:170-185

Analysis of the impact of genetic algorithm parameters on optimization efficiency in MATLAB

Authors: N. V. Astapenko

Source: Vestnik of M. Kozybayev North Kazakhstan University. :207-214

Research on parameter selection and optimization of C4.5 algorithm based on algorithm applicability knowledge base

Authors: Yiyan Zhang Yi Xin Qin Li

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Subject Terms: C4.5 algorithm, Hyperparameter selection, Medical data, Quantitative representation of datasets, Recommendation rules, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/8cadf03abc0949a2834a9fc6e62a3062

Improving SAT Solver Performance Through MLP-Predicted Genetic Algorithm Parameters

Authors: Saouli, Sabrine Baarir, Souheib Dutheillet, Claude

Contributors: Saouli, Sabrine Baarir, Souheib Dutheillet, Claude

Source: Lecture Notes in Computer Science ISBN: 9783031765537

Subject Terms: Genetic Algorithms, Parameters optimization, Machine learning, Boolean satisfiability Initialization problem Genetic Algorithms Machine learning Parameters optimization, [INFO] Computer Science [cs], Boolean satisfiability, Initialization problem

File Description: application/pdf

Optimizing ECDSA Algorithm Parameters via Safe Prime Generation Integrated on EJBCA

Authors: Viet-Nhat Nguyen Van-Duong Pham Hoang Duc Tho

Source: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031973512

Exploring parameter optimisation in machine learning algorithms for locomotor task discrimination using wearable sensors

Authors: L. D. Hughes M. Bencsik M. Bisele et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Subject Terms: Machine learning, Wearable sensors, Optimisation, Locomotion, Principal component analysis, Discriminant function analysis, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/8cfda2c84cc54e88a3b367d38f86695b

System identification-based tuning of PID algorithm parameters by using PSO and genetic algorithms

Authors: null Bejad Al-Harbi Abdenour Bounsiar Abdulelah Algosaibi

Source: Edelweiss Applied Science and Technology. 8:7252-7272

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

ANALYSIS OF THE IMPACT OF GENETIC ALGORITHM PARAMETERS ON THE EFFECTIVENESS OF SOLVING THE PROBLEM OF ALLOCATING LIMITED RESOURCES IN SCENARIO-BASED ECONOMIC CONDITIONS

Authors: Олександр Курденко Владислав Харченко

Source: Економіка та суспільство, Iss 80 (2025)

Subject Terms: genetic algorithm, evolutionary optimization, scenario modeling, allocation of limited resources, parametric sensitivity, constraint mechanisms, Economics as a science, HB71-74, Business, HF5001-6182

File Description: electronic resource

Relation: https://economyandsociety.in.ua/index.php/journal/article/view/6882; https://doaj.org/toc/2524-0072

Access URL: https://doaj.org/article/cf500f2ee87943879557400868468602

End-to-end protocol for high-quality quantum approximate optimization algorithm parameters with few shots

Authors: Tianyi Hao Zichang He Ruslan Shaydulin et al.

Source: Physical Review Research. 7

Research on the Influence of Genetic Algorithm Parameters on XGBoost in Load Forecasting

Authors: Thanh-Ngoc Tran Quoc-Dai Nguyen

Source: Engineering, Technology & Applied Science Research. 14:18849-18854

Subject Terms: 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

PTGNG: An Evolutionary Approach for Parameter Optimization in the Growing Neural Gas Algorithm

Authors: Mohanad Dhari Jassam ALALKAWI Shadi AL SHEHABI Meltem YILDIRIM IMAMOGLU

Source: Volume: 9, Issue: 2 91-101
International Journal of Computational and Experimental Science and Engineering

Subject Terms: 0209 industrial biotechnology, Engineering, Mühendislik, 0202 electrical engineering, electronic engineering, information engineering, Growing Neural Gas, Parameter tuning, Evolutionary algorithm, 02 engineering and technology

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/ijcesen/issue/77839/1282146

A Multi-Parameter Persistence Algorithm for the Automatic Energy Calibration of Scintillating Radiation Sensors

Authors: Guglielmo Ferranti Chiara Rita Failla Paolo Finocchiaro et al.

Parameter Optimization in Cluster Identification Algorithms for Characterizing Nanoclusters in Al–Mg–Si–Cu Alloys

Authors: MinYoung Song Equo Kobayashi JaeHwang Kim

Source: Microscopy and Microanalysis. 30:635-649

Subject Terms: 0203 mechanical engineering, 02 engineering and technology, 0210 nano-technology

Access URL: https://pubmed.ncbi.nlm.nih.gov/38916533

Investigation the Influence of K-Nearest Neighbors Algorithm Parameters on Model Quality Metrics

Authors: Aleksei Rodionov Konstantin Ishchenko

Source: System Analysis & Mathematical Modeling. 6:251-262

Comparison of Tree‐Based Machine Learning Algorithms for Classification of Livestock Breeds Based On Post‐Thaw Spermatological Parameters.

Authors: Özen, Doğukan Özen, Hülya Gül, Elif Bersu et al.

Source: Veterinary Medicine & Science. Sep2025, Vol. 11 Issue 5, p1-10. 10p.

Subjects: Livestock breeds, Machine learning, Semen analysis, CART algorithms, Classification, Cattle breeds

Selection of Real-Coded Genetic Algorithm parameters in solving simulation–optimization problems for the design of water distribution networks

Authors: Vidavaluru Hemanth Sai Kumar Pramada S.K.

Source: Water Supply, Vol 23, Iss 12, Pp 5046-5061 (2023)

Subject Terms: River, lake, and water-supply engineering (General), TC401-506, Water supply for domestic and industrial purposes, simulation–optimization, 0208 environmental biotechnology, 0207 environmental engineering, 02 engineering and technology, real-coded genetic algorithm, water distribution system, TD201-500

Access URL: https://doaj.org/article/fdeab7120a1740a9a9ff4b3c43039f37

Smart Tuning of Algorithm Parameters by Deep Reinforcement Learning

Authors: J. C. Serrano-Ruiz J. Mula R. Poler

Source: Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031823336

Hybrid genetic algorithm for parametric optimization of surface pipeline networks in underground natural gas storage harmonized injection and production conditions

Authors: Jun Zhou Zichen Li Shitao Liu et al.

Source: Natural Gas Industry B, Vol 12, Iss 2, Pp 234-250 (2025)

Subject Terms: Gas industry, TP751-762, Parameter optimization, Hybrid genetic algorithm, Underground natural gas storage, Surface injection and production pipeline

Access URL: https://doaj.org/article/c7a195708d6b46c39e62d9d7f41c86a6