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检索条件"主题词=Multi-Objective Evolutionary Algorithms"
321 条 记 录,以下是101-110 订阅
排序:
Analyzing the Performance of a Two-Tail-Measures-Utility multi-objective Portfolio Optimization Model
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Operations Research Forum 2021年 第4期2卷 58页
作者: Mamanis, Georgios CGSoft Athens Greece
This research paper proposes and experimentally investigates the out-of-sample performance of a multi(three)-objective portfolio optimization model. The three objectives used to evaluate the return distribution of the... 详细信息
来源: 评论
Energy and Spectral Efficiency Tradeoff in NOMA: multi-objective evolutionary Approaches
Energy and Spectral Efficiency Tradeoff in NOMA: Multi-Objec...
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IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond
作者: Cetinkaya, Sinasi Arslan, Huseyin Univ S Florida Dept Elect Engn Tampa FL 33620 USA Istanbul Medipol Univ Dept Elect & Elect Engn TR-34810 Istanbul Turkey
Non-orthogonal multiple access (NOMA) deployment in future wireless networks has been recently considered a promising radio access technology to enhance spectral efficiency (SE). However, gain in SE comes always with ... 详细信息
来源: 评论
Hybrid NSGA III/dual simplex approach to generation and transmission maintenance scheduling
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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2022年 135卷 107498-107498页
作者: San Martin, Luis Salinas Yang, Jin Liu, Ying Univ Glasgow James Watt Sch Engn Glasgow G12 8QQ Lanark Scotland
The generation and transmission maintenance scheduling (GTMS) problem presents generation (GENCOs) and transmission (TRANSCO) companies scheduling their facilities for maintenance to maximize their profits, while the ... 详细信息
来源: 评论
EEEA-Net: An Early Exit evolutionary Neural Architecture Search
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2021年 104卷 104397-104397页
作者: Termritthikun, Chakkrit Jamtsho, Yeshi Ieamsaard, Jirarat Muneesawang, Paisarn Lee, Ivan Univ South Australia STEM Adelaide SA 5095 Australia Naresuan Univ Fac Engn Dept Elect & Comp Engn Phitsanulok 65000 Thailand Royal Univ Bhutan Coll Sci & Technol Phuentsholing 21101 Bhutan
The goals of this research were to search for Convolutional Neural Network (CNN) architectures, suitable for an on-device processor with limited computing resources, performing at substantially lower Network Architect... 详细信息
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Spatial and sectoral benefit distribution in water-energy system design
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APPLIED ENERGY 2020年 269卷 114794-114794页
作者: Gonzalez, Jose M. Tomlinson, James E. Harou, Julien J. Cesena, Eduardo A. Martinez Panteli, Mathaios Bottacin-Busolin, Andrea Hurford, Anthony Olivares, Marcelo A. Siddiqui, Afzal Erfani, Tohid Strzepek, Kenneth M. Mancarella, Pierluigi Mutale, Joseph Obuobie, Emmanuel Seid, Abdulkarim H. Ya, Aung Ze Univ Manchester Dept Mech Aerosp & Civil Engn Manchester M13 9PL Lancs England Univ Manchester Dept Elect & Elect Engn Manchester M13 9PL Lancs England Univ Chile Dept Civil Engn Santiago 2002 Chile UCL Dept Stat Sci London WC1E 6BT England Stockholm Univ Dept Comp & Syst Sci Stockholm Sweden UCL Dept Civil Environm & Geomat Engn London WC1E 6BT England MIT Joint Program Sci & Policy Global Change 77 Massachusetts AveE19-429F Cambridge MA 02139 USA Univ Melbourne Sch Elect & Elect Engn Melbourne Vic Australia CSIR Water Res Inst POB AH 38 Achimota Accra Ghana Nile Basin Initiat Secretariat Water Resources Management Entebbe Uganda Yangon Technol Univ Dept Elect Power Engn Insein Township Yangon Myanmar
The design of water and energy systems has traditionally been done independently or considering simplified interdependencies between the two systems. This potentially misses valuable synergies between them and does no... 详细信息
来源: 评论
A Many-objective Analysis Framework for Large Real-World Water Distribution System Design Problems
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WATER 2022年 第4期14卷 557-557页
作者: Bi, Weiwei Chen, Minjie Shen, Shuwen Huang, Zhiyuan Chen, Jie Zhejiang Univ Technol Coll Civil Engn Hangzhou 310023 Peoples R China
This paper presents a many-objective analysis framework to handle large real-world water distribution system design problems (WDSDP), which is a typically difficult infrastructure engineering optimization problem type... 详细信息
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A Classification Surrogate Model based evolutionary Algorithm for Neural Network Structure Learning
A Classification Surrogate Model based Evolutionary Algorith...
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International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Hu, Wenyue Zhou, Aimin Zhang, Guixu East China Normal Univ Sch Comp Sci & Technol Shanghai Key Lab Multidimens Informat Proc Shanghai Peoples R China
Designing neural networks often requires a large number of artificial intelligence experts. However, such manual processes are time-consuming and require numerous resources. In this paper, we try to search neural netw... 详细信息
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Two-stage storage assignment to minimize travel time and congestion for warehouse order picking operations
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COMPUTERS & INDUSTRIAL ENGINEERING 2020年 139卷 106129-000页
作者: Lee, In Gyu Chung, Sung Hoon Yoon, Sang Won SUNY Binghamton Dept Syst Sci & Ind Engn Binghamton NY 13902 USA
This research presents a systematic and integrated approach that extends the correlated storage assignment strategy to improve the efficiency of warehouse order picking operations. The correlated storage assignment ca... 详细信息
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SDRS: A new lossless dimensionality reduction for text corpora
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INFORMATION PROCESSING & MANAGEMENT 2020年 第4期57卷 102249-102249页
作者: Velez de Mendizabal, Inaki Basto-Fernandes, Vitor Ezpeleta, Enaitz Mendez, Jose R. Zurutuza, Urko Mondragon Unibersitatea Elect & Comp Dept Arrasate Mondragon Spain Univ Inst Lisbon Inst Univ Lisboa ISCTE IUL ISTAR IUL Av Forcas Armadas Lisbon 1649026 Portugal Univ Vigo Dept Comp Sci Edificio Politecn ESEI Escuela Super Ingn Informat Campus Univ As Lagoas S-N Orense 32004 Spain Univ Vigo CINBIO Biomed Res Ctr Campus Univ Lagoas Marcosende Vigo 36310 Spain SERGAS UVIGO Galicia Sur Hlth Res Inst IIS Galicia Sur SING Res Grp Hosp Alvaro Cunqueiro Bloque TecnEstr Clara Vigo 36312 Pontevedra Spain
In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhance... 详细信息
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New hybrid between SPEA/R with deep neural network: Application to predicting the multi-objective optimization of the stiffness parameter for powertrain mount systems
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JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL 2020年 第4期39卷 850-865页
作者: Dinh-Nam Dao Guo, Li-Xin Northeastern Univ Sch Mech Engn & Automat Shenyang Liaoning Peoples R China Le Quy Don Tech Univ Control Technol Coll Hanoi Vietnam
In this study, a new methodology, hybrid Strength Pareto evolutionary Algorithm Reference Direction (SPEA/R) with Deep Neural Network (HDNN&SPEA/R), has been developed to achieve cost optimization of stiffness par... 详细信息
来源: 评论