Výsledky vyhľadávania - "Multi-objective genetic algorithms"

Optimization of extendable die SPR-bonded hybrid joining structures based on kriging and multi-objective genetic algorithms

Autori: Menghan Wang Shun Liu Hongrui Wu a ďalší

Zdroj: The International Journal of Advanced Manufacturing Technology. 139:3657-3674

Adaptive Denoising of Sequential Data with Multi-Objective Genetic Algorithms

Autori: Kok Cheng Tan Dmytro Vitel Daniel Zantedeschi a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :911-914

Multi-Objective Genetic Algorithms for Dynamic Resource Optimization in Cloud Computing

Autori: Guna G Sarvan S Prashant Johri a ďalší

Zdroj: 2025 International Conference on Networks and Cryptology (NETCRYPT). :876-881

Energy-Efficient Clustering in WSNs Using Multi-Objective Genetic Algorithms

Autori: P. Sivaprakash Haritha K Kondalarao Punati a ďalší

Zdroj: 2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES). :1-5

Enhanced Beamforming Optimization in Starlink Gateway Antenna Utilizing Adaptive Multi-Objective Genetic Algorithms (AMOGA)

Autori: Freederia AI Researcher

Multi-Objective Genetic Algorithms for Optimizing Cold Roll Forming of Advanced High Strength Steels

Autori: Dayanand Yesane Rupesh Bhortake

Zdroj: Advances in Computational Intelligence and Robotics ISBN: 9798369379745

Revalorization of Vinasse as a Farmland Improver Through Multi-Objective Genetic Algorithms: A Circular Economy Approach

Autori: Aarón Montiel-Rosales Nayeli Montalvo-Romero Gregorio Fernández-Lambert a ďalší

Zdroj: Land, Vol 14, Iss 7, p 1359 (2025)

Predmety: Multi-Objective Genetic Algorithms, Agriculture, sustainability, wastewater, agriculture

Prístupová URL adresa: https://doaj.org/article/4276c682bf9147d4bb3d38ef154ecb5f

Enhancing cyclone separator performance via computational fluid dynamics and intelligent optimization: synergizing design of experiments, machine learning, and multi-objective genetic algorithms

Autori: Jianhao Guo Yunpeng Zhao Nan Liu a ďalší

Zdroj: Frontiers of Chemical Science and Engineering. 19

Optimization of Metro Feeder Lines in the Monterrey Metropolitan Area Using Multi-objective Genetic Algorithms: Preliminary Evaluation

Autori: Samantha Ruelas-Valtierra Juan A. Lucio-Rojas Yasmín Á. Ríos-Solís

Zdroj: Communications in Computer and Information Science ISBN: 9783031979125

Optimal Sampling Design of Clinical Trials Using Multi-Objective Genetic Algorithms

Autori: Virgolin, Marco Pasculli, Giuseppe Roeshammar, Daniel

Intelligent Optimization Using Multi-objective Genetic Algorithms in New Media Art Design

Autori: Kang An Jingyu Zhang

Zdroj: Computer-Aided Design and Applications. :249-263

Typhoon-Induced Hourly Inundation Forecasting by Integrating Long Short-Term Memory and Multi-Objective Genetic Algorithms

Autori: Bing-Chen Jhong

Innovative Optimization of Mechanical Performance in Carbon Fiber-Reinforced Nylon Composite Using Artificial Neural Networks and Multi-Objective Genetic Algorithms

Autori: Akash Ahlawat Ashish Phogat Upender Punia a ďalší

Zdroj: Journal of Materials Engineering and Performance.

Thermal-hydraulic characteristics and optimization of coiled-tube resistance furnace based on response surface method and multi-objective genetic algorithms

Autori: Ruochen Zhang Yinglong Wu Juan Xiao a ďalší

Zdroj: Case Studies in Thermal Engineering, Vol 72, Iss , Pp 106259- (2025)

Predmety: Coiled-tube, Resistance furnace, Heat transfer enhancement, Multi-objective genetic algorithm, Fitting correlations, Engineering (General). Civil engineering (General), TA1-2040

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214157X25005192; https://doaj.org/toc/2214-157X

Prístupová URL adresa: https://doaj.org/article/d05252b34c3449c497cc7a449c9bd0b5

Data clustering and imputing using a two-level multi-objective genetic algorithms (GA): A case study of maintenance cost data for tunnel fans

Autori: Al-Douri, Yamur K. Hamodi, Hussan Zhang, Liangwei

Zdroj: Cogent Engineering. 5(1):1-16

Predmety: Data clustering, data imputing, multi-objective GA, fuzzy c-means, K-means clustering, Drift och underhållsteknik, Operation and Maintenance Engineering

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70375
https://doi.org/10.1080/23311916.2018.1513304

Optimizing production planning and sequencing in hot strip mills: an approach using multi-objective genetic algorithms

Autori: Fardad, H Safi-Esfahani, F Barekatain, B

Témy: 0803 Computer Software, 0805 Distributed Computing, Journal Article

URL: http://hdl.handle.net/10453/183722
Journal of Supercomputing
10.1007/s11227-024-06469-z

Constructing ecological network based on multi-objective genetic algorithms: a case study of Changsha City, China

Autori: Shancai Xiao Jian Peng Tao Hu a ďalší

Zdroj: Landscape Ecology. 39

Optimization of water-jet pump based on the coupling of multi-parameter and multi-objective genetic algorithms

Autori: Yun Long Chenbiao Tian Rongsheng Zhu a ďalší

Zdroj: Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46

Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection

Autori: Luca Cattelani Vittorio Fortino

Zdroj: Brief Bioinform

Predmety: FOS: Computer and information sciences, 0301 basic medicine, Computer Science - Machine Learning, 0303 health sciences, Computational Biology, Quantitative Biology - Quantitative Methods, Machine Learning (cs.LG), Machine Learning, 03 medical and health sciences, Neoplasms, FOS: Biological sciences, Biomarkers, Tumor, Problem Solving Protocol, Humans, Algorithms, Quantitative Methods (q-bio.QM)

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39737563
http://arxiv.org/abs/2312.16624

Optimizing production planning and sequencing in hot strip mills: an approach using multi-objective genetic algorithms

Autori: Hamidreza Fardad Faramarz Safi-Esfahani Behrang Barekatain

Zdroj: The Journal of Supercomputing. 81