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检索条件"主题词=multi-objective evolutionary algorithm"
545 条 记 录,以下是181-190 订阅
排序:
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions
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SWARM AND evolutionary COMPUTATION 2021年 60卷
作者: Li, Fan Gao, Liang Garg, Akhil Shen, Weiming Huang, Shifeng Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn Natl CNC Engn Technol Res Ctr Wuhan 430074 Peoples R China
This paper proposed a surrogate-assisted dominance-based multi-objective evolutionary algorithm to solve multi-objective computationally expensive problems with medium dimensions. Two infill criteria are collaborative... 详细信息
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Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms
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APPLIED SOFT COMPUTING 2021年 106卷 107347-107347页
作者: Mallick, Chirantana Das, Asit Kumar Ding, Weiping Nayak, Janmenjoy Indian Inst Engn Sci & Technol Sibpur 711103 Howrah India Nantong Univ Sch Informat Sci & Technol Nantong 226019 Peoples R China Aditya Inst Technol & Management AITAM Tekkali 532201 Andhra Pradesh India
The rapid exponential growth of scientific literature of bio-medicine, genomics, and other bio-sciences increases difficulties to access useful information timely and efficiently. The medical researchers, physicians a... 详细信息
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multi-objective evolutionary for synthetic aperture radar image segmentation with non-local means denoising
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NATURAL COMPUTING 2014年 第1期13卷 39-53页
作者: Li, Yangyang Wei, Ying Wang, Yang Jiao, Licheng Xidian Univ Key Lab Intelligent Percept & Image Understanding Minist Educ China Xian 710071 Peoples R China
Synthetic aperture radar (SAR) image segmentation is an important problem of the realm of image segmentation. In this study, a novel SAR image segmentation algorithm using a multi-objective evolutionary algorithm base... 详细信息
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A novel membrane-inspired evolutionary framework for multi-objective multi-task optimization problems
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INFORMATION SCIENCES 2022年 596卷 236-263页
作者: Xu, Zhiwei Zhang, Kai He, Juanjuan Liu, Xiaoming Wuhan Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430065 Peoples R China Hubei Prov Key Lab Intelligent Informat Proc & Re Wuhan 430065 Peoples R China
In recent years, many different membrane-inspired evolutionary algorithms have been proposed to solve various complex optimization problems. Considering membrane systems' powerful computing performance and paralle... 详细信息
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An evolutionary multitasking Method for High-Dimensional Receiver Operating Characteristic Convex Hull Maximization
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2024年 第2期8卷 1699-1713页
作者: Cheng, Fan Shu, Shengda Zhang, Lei Tan, Ming Qiu, Jianfeng Anhui Univ Inst Informat Mat Sch Artificial Intelligence Hefei 230601 Peoples R China Anhui Univ Sch Artificial Intelligence Intelligent Sensing Lab Anhui Prov Hefei 230601 Peoples R China Anhui Univ Sch Comp Sci & Technol Hefei 230601 Peoples R China Hefei Univ Sch Artificial Intelligence & Big Data Hefei 230601 Peoples R China
Maximizing receiver operating characteristic convex hull (ROCCH) is a hot research topic of binary classification, since it can obtain good classifiers under either balanced or imbalanced situation. Recently, evolutio... 详细信息
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Product form evolutionary design system construction based on neural network model and multi-objective optimization
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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020年 第5期39卷 7977-7991页
作者: Wu, Yixiang Yiwu Ind & Commercial Coll Yiwu 322000 Zhejiang Peoples R China
The product form evolutionary design based on multi-objective optimization can satisfy the complex emotional needs of consumers for product form, but most relevant literatures mainly focus on single-objective optimiza... 详细信息
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Combining mutual information and stable matching strategy for dynamic evolutionary multi-objective optimization
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ENGINEERING OPTIMIZATION 2018年 第9期50卷 1434-1452页
作者: Fu, Xiaogang Sun, Jianyong Shanghai Dianji Univ Sch Elect Engn Shanghai Peoples R China Xi An Jiao Tong Univ Sch Math & Stat Xian Shaanxi Peoples R China
It is reasonable to assume that the changing of the optimization environment is smooth when considering a dynamic multi-objective optimization problem. Learning techniques are widely used to explore the dependence str... 详细信息
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A New Approach Based on a multiobjective evolutionary algorithm for Accurate Control of Flow Rate and Blood Pressure in Cardiac Bioreactors
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CARDIOVASCULAR ENGINEERING AND TECHNOLOGY 2020年 第1期11卷 84-95页
作者: Gosselin, Jerome Begin-Drolet, Andre Maciel, Yvan Ruel, Jean Univ Laval Dept Genie Mecan Quebec City PQ G1V 0A6 Canada Pavillon Adrien Pouliot Local 1314-C412245 Quebec City PQ Canada
Purpose-Accurately reproducing physiological and time-varying variables in cardiac bioreactors is a difficult task for conventional control methods. This paper presents a new controller based on a genetic algorithm fo... 详细信息
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Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks
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ARTIFICIAL INTELLIGENCE IN MEDICINE 2013年 第1期58卷 37-49页
作者: Cruz-Ramirez, Manuel Hervas-Martinez, Cesar Carlos Fernandez, Juan Briceno, Javier de la Mata, Manuel Univ Cordoba Dept Comp Sci & Numer Anal E-14071 Cordoba Spain Univ Hosp Reina Sofia Liver Transplantat Unit Cordoba 14004 Spain
objective: The optimal allocation of organs in liver transplantation is a problem that can be resolved using machine-learning techniques. Classical methods of allocation included the assignment of an organ to the firs... 详细信息
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An evolutionary based dynamic energy management framework for IP-over-DWDM networks
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SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS 2014年 第2期4卷 94-105页
作者: Chen, Xin Phillips, Chris Queen Mary Univ London Sch Elect Engn & Comp Sci Mile End Rd London E1 4NS England
The energy consumption of the Internet accounts for approximately 1% of the world's total electricity usage, which may become one of the main constraints on its further growth. In response, we propose an evolution... 详细信息
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