Suchergebnisse - "the algorithm parameters"

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

Autoren: A. Drobysheva S. Tkachev

Quelle: Cosmic Research. 63:170-185

Optimizing ECDSA Algorithm Parameters via Safe Prime Generation Integrated on EJBCA

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

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

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

Autoren: N. V. Astapenko

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

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

Autoren: Maria Angelova Tania Pencheva

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

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

Zugangs-URL: https://doaj.org/article/a1ff46b035c743fa857e2d6d94c33be0

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

Autoren: Tianyi Hao Zichang He Ruslan Shaydulin et al.

Quelle: Physical Review Research. 7

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

Autoren: null Bejad Al-Harbi Abdenour Bounsiar Abdulelah Algosaibi

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

Schlagwörter: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

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

Autoren: Thanh-Ngoc Tran Quoc-Dai Nguyen

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

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

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

Autoren: Олександр Курденко Владислав Харченко

Quelle: Економіка та суспільство, Iss 80 (2025)

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/cf500f2ee87943879557400868468602

Smart Tuning of Algorithm Parameters by Deep Reinforcement Learning

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

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

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

Autoren: Aleksei Rodionov Konstantin Ishchenko

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

Optimizing software reliability growth models through simulated annealing algorithm: parameters estimation and performance analysis

Autoren: Baydaa Sulaiman Bahnam Suhair Abd Dawwod Mohammed Chachan Younis

Quelle: The Journal of Supercomputing. 80:16173-16201

The Optimization of the STOI Algorithm Parameters in Presence of the White Gaussian Noise (WGN)

Autoren: Zoran Milivojević Dijana Kostić Zoran Veličković et al.

Quelle: South Florida Journal of Development. 5:109-118

Utilizing Previously Acquired BSBL Algorithm Parameters in the Compressed Sensing Framework for EEG Measurements

Autoren: Takuya Miyata Daisuke Kanemoto Tetsuya Hirose

Quelle: 2024 IEEE International Conference on Consumer Electronics (ICCE). :1-4

Improving SAT Solver Performance Through MLP-Predicted Genetic Algorithm Parameters

Autoren: Saouli, Sabrine Baarir, Souheib Dutheillet, Claude

Weitere Verfasser: Saouli, Sabrine Baarir, Souheib Dutheillet, Claude

Quelle: Lecture Notes in Computer Science ISBN: 9783031765537

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

Dateibeschreibung: application/pdf

Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space

Autoren: Izzati Saleh Azwati Azmin Azan Yunus et al.

Quelle: Pertanika Journal of Science and Technology. 32:99-111

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Autoren: Vidavaluru Hemanth Sai Kumar Pramada S.K.

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/fdeab7120a1740a9a9ff4b3c43039f37

Optimization of hybrid-forecasting algorithm parameters using a model ensemble in real time

Autoren: Elena A. Kochegurova Sofia M. Saybert Ksenia V. Tatyankina

Quelle: Известия Томского политехнического университета: Промышленная кибернетика, Vol 2, Iss 4, Pp 26-33 (2024)

Schlagwörter: TK7885-7895, QA76.75-76.765, Computer engineering. Computer hardware, Q300-390, density clustering, real-time forecasting, penalized p-spline, Computer software, performance metrics, ensemble modeling, Cybernetics

Zugangs-URL: https://doaj.org/article/11252c6563e3487f8fcd566128fa9881

TRANSFER OF GENETIC ALGORITHM PARAMETERS FOR GROUND ROBOT MOTION TASKS TO UAVS FOR MOTION OPTIMIZATION

Autoren: Anastasiia Baranovska Yaroslav Kulyk

Quelle: Proceedings of XVII International Conference Measurement and Control in Complex System (MCCS-2024).

Tuning Genetic Algorithm Parameters for Placement of Integrated Circuit Cells

Autoren: Vazgen Melikyan Ashot Harutyunyan Vachagan Davtyan et al.

Quelle: 2023 IEEE East-West Design & Test Symposium (EWDTS). :1-4

Exploring the Impact of Big Bang-Big Crunch Algorithm Parameters on Welded Beam Design Problem Resolution

Autoren: Saman M. Almufti

Quelle: Academic Journal of Nawroz University. 12:1-16