Výsledky vyhľadávania - "multiobjective genetic algorithm"

Molecular Optimization Based on a Monte Carlo Tree Search and Multiobjective Genetic Algorithm

Autori: Chong Zhang Cai Dai Xiujuan Lei

Zdroj: Journal of Chemical Information and Modeling. 65:5973-5988

Optimization Design of Coated Armature in Electromagnetic Railgun Based on Multiobjective Genetic Algorithm

Autori: Xuan Xu Lixue Chen Shengqin Xu a ďalší

Zdroj: IEEE Transactions on Plasma Science. :1-8

Improved Multiobjective Genetic Algorithm for Partitioning Distributed Photovoltaic Clusters: Balancing Spatial Distance and Power Similarity

Autori: Chen, Yansen Cheng, Kai Li, Zhuohuan a ďalší

Zdroj: Journal of Computing and Information Technology, Vol 32, Iss 4, Pp 251-264 (2024)
Journal of computing and information technology
CODEN CJCTEM
Volume 32
Issue 4

Predmety: Electronic computers. Computer science, distributed photovoltaic, cluster partitioning, QA75.5-76.95, 02 engineering and technology, 0204 chemical engineering, multi-objective genetic algorithm

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/71142bcf91634ba48c9913418170472d

A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification

Autori: Bin Wang Wenbin Pei Bing Xue a ďalší

Zdroj: IEEE Transactions on Evolutionary Computation. 28:903-917

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Fingerprint liveness detection based on contourlet, various entropy algorithms and multiobjective genetic algorithm-based ensemble classifier

Autori: Zhen Li Bing Li

Zdroj: Smart Science. 13:33-44

Muffler Design for Noise Reduction and Pressure Loss Optimization Using Multiobjective Genetic Algorithm

Autori: Muhammad Yandi Pratama Prihanto Trihutomo Suprayitno Suprayitno

Zdroj: Engineering Innovations. 11:63-68

Predmety: 0203 mechanical engineering, 13. Climate action, 0103 physical sciences, 02 engineering and technology, 01 natural sciences, 7. Clean energy

Determination of Optimal Locations and Parameters of Passive Harmonic Filters in Unbalanced Systems Using the Multiobjective Genetic Algorithm

Autori: Milos J. Milovanovic Svetlana S. Raicevic Dardan O. Klimenta a ďalší

Zdroj: Elektronika ir Elektrotechnika, Vol 30, Iss 2, Pp 28-37 (2024)

Predmety: genetic algorithm (ga), optimisation, unbalanced distribution system, passive harmonic filter (phf), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Prístupová URL adresa: https://doaj.org/article/d0671dcecdc9498bb2c966f142b91039

Detailed Design Optimization of Reinforced Concrete Flexural Sections Using MultiObjective Genetic Algorithm

Autori: Quéva, Paul Jason, Ludovic Arnaud, Gilles a ďalší

Prispievatelia: Quéva, Paul Jason, Ludovic Arnaud, Gilles a ďalší

Predmety: [SPI] Engineering Sciences [physics]

Prístupová URL adresa: https://hal.science/hal-05136223v1

Cross-Domain Routing Optimization Based on Improved Multiobjective Genetic Algorithm

Autori: Shihang Zhang Chuanhe Yu Jing Yan a ďalší

Zdroj: 2024 OES China Ocean Acoustics (COA). :1-6

Dynamic energy consumption using multiobjective genetic algorithm based FFT for implantable cardiac pacemakers

Autori: S. Nagakumararaj S. Baskar

Zdroj: Analog Integrated Circuits and Signal Processing. 122

Multiobjective Genetic Algorithm for Fast Service Function Chain Reconfiguration

Autori: Kyoomars Alizadeh Noghani Andreas Kassler Javid Taheri a ďalší

Zdroj: IEEE Transactions on Network and Service Management. 20:3501-3522

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Optimization of mining equipment maintenance scheduling based on multiobjective genetic algorithm

Autori: Xinting Wang Yiting Wang Biao Fu a ďalší

Zdroj: International Conference on Machine Vision and Deep Learning (MVDL 2025). :45

Hybrid Optimization Approach Using Multiobjective Genetic Algorithm NSGA‐II, SCAPS‐1D Simulation, and Response Surface Methodology for Organic Solar Cell Analysis

Autori: Samia Moulebhar Chahrazed Bendenia Hanaa Merad‐Dib a ďalší

Zdroj: physica status solidi (a). 222

Optimization of Yield and Conversion Rates in Methane Dry Reforming Using Artificial Neural Networks and the Multiobjective Genetic Algorithm

Autori: Fahad N. Alotaibi Abdallah S. Berrouk Muhammad Saeed

Zdroj: Industrial & Engineering Chemistry Research. 62:17084-17099

Accurate Base Station Placement in 4G LTE Networks Using Multiobjective Genetic Algorithm Optimization

Autori: Joseph Isabona Agbotiname Lucky Imoize Stephen Ojo a ďalší

Zdroj: Wireless Communications and Mobile Computing. 2023:1-9

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: text/xhtml

Aerodynamic modal analysis of racing car using multiobjective genetic algorithm

Autori: Yifan You

Zdroj: Fourth International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025). :145

Seismic Response Control of Structures with Stiffness Irregularities through Optimally Placed Active Tendons using Multiobjective Genetic Algorithm

Autori: F. Rather M. Alam

Zdroj: ASPS Conference Proceedings. 1:1123-1128

Robust Parameter Design for Cyclone System Based on Dual-Response Surface Method and Multiobjective Genetic Algorithm

Autori: Fusheng Luo Xianhui Yin Zhanwen Niu

Zdroj: Comput Intell Neurosci

Predmety: Coal, Cyclonic Storms, 0211 other engineering and technologies, 02 engineering and technology, 7. Clean energy, Algorithms, Research Article, 12. Responsible consumption

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35761868

A Multimodal Multiobjective Genetic Algorithm for Feature Selection

Autori: Jing Liang Junting Yang Caitong Yue a ďalší

Zdroj: 2022 IEEE Congress on Evolutionary Computation (CEC). :1-8

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Fair feature subset selection using multiobjective genetic algorithm

Autori: Rehman, Ayaz Ur Nadeem, Anas Malik, Muhammad Zubair

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :360-363

Predmety: FOS: Computer and information sciences, Computer Science - Computers and Society, Computer Science - Machine Learning, Computers and Society (cs.CY), 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2205.01512