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检索条件"主题词=Binary dragonfly algorithm"
17 条 记 录,以下是1-10 订阅
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Flexible optimization of variables based on exponential and linear attenuation elimination-binary dragonfly algorithm in near infrared spectroscopic analysis
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INFRARED PHYSICS & TECHNOLOGY 2024年 140卷
作者: Wang, Honghong Zhang, Mingjin Xiong, Zhixin Yang, Wuye Wu, Ting Du, Yiping East China Univ Sci & Technol Sch Chem & Mol Engn Shanghai Key Lab Funct Mat Chem Shanghai 200237 Peoples R China Qinghai Normal Univ Sch Chem & Chem Engn Xining 810016 Qinghai Peoples R China Nanjing Forestry Univ Coll Light Ind & Food Engn Nanjing 210037 Peoples R China
Single binary dragonfly algorithm (Single-BDA) which is an intelligent optimization algorithm, normally needs more calculation time and often obtains unrobust variables. In this study, an Exponential and Linear Attenu... 详细信息
来源: 评论
Solving Graph Coloring Problem Using an Enhanced binary dragonfly algorithm
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INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH 2019年 第3期10卷 23-45页
作者: Baiche, Karim Meraihi, Yassine Hina, Manolo Dulva Ramdane-Cherif, Amar Mahseur, Mohammed Univ MHamed Bougara Boumerdes Appl Automat Lab Boumerdes Algeria Univ MHamed Bougara Boumerdes Dept Automat Appl Automat Lab Boumerdes Algeria ECE Paris Sch Engn Paris France Univ Versailles St Quentin Yvelines LISV Lab Versailles France Univ Sci & Technol Houari Boumediene Bab Ezzouar Algeria
The graph coloring problem (GCP) is one of the most interesting classical combinatorial optimization problems in graph theory. It is known to be an NP-Hard problem, so many heuristic algorithms have been employed to s... 详细信息
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A Novel Hybrid Gene Selection Based on Random Forest Approach and binary dragonfly algorithm  18
A Novel Hybrid Gene Selection Based on Random Forest Approac...
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18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
作者: Boroujeni, Sayed Pedram Haeri Pashaei, Elnaz Istanbul Aydin Univ Dept Artificial Intelligence Engn Istanbul Turkey Istanbul Aydin Univ Dept Software Engn Istanbul Turkey
Microarrays dataset contains a huge number of genes and a few samples. This issue can lead to the curse of dimensionality in large datasets. To overcome this challenge, gene selection is a method used for identifying ... 详细信息
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A Hyper Learning binary dragonfly algorithm for Feature Selection: A COVID-19 Case Study
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KNOWLEDGE-BASED SYSTEMS 2021年 212卷 106553-106553页
作者: Too, Jingwei Mirjalili, Seyedali Univ Tekn Malaysia Melaka Fac Elect Engn Durian Tunggal 76100 Melaka Malaysia Torrens Univ Australia Ctr Artificial Intelligence Res & Optimizat Brisbane Qld 4006 Australia Yonsei Univ Yonsei Frontier Lab Seoul South Korea King Abdulaziz Univ Jeddah Saudi Arabia
The rapid expansion of information science has caused the issue of "the curse of dimensionality", which will negatively affect the performance of the machine learning model. Feature selection is typically co... 详细信息
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An enhanced binary dragonfly algorithm based on a V-shaped transfer function for optimization of pump scheduling program in water supply systems (case study of Iran)
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ENGINEERING FAILURE ANALYSIS 2021年 123卷 105323-105323页
作者: Jafari-Asl, Jafar Azizyan, Gholamreza Monfared, Seyed Arman Hashemi Rashki, Mohsen Andrade-Campos, Antonio G. Univ Sistan & Baluchestan Fac Engn Dept Civil Engn Zahedan Iran Univ Sistan & Baluchestan Fac Arts & Architecture Dept Architecture Engn Zahedan Iran Univ Aveiro Ctr Mech Technol & Automat GRIDS Res Grp Campus Univ Santiago P-3810193 Aveiro Portugal
With the continual growth of population and shortage of energy resources, the optimal consumption of these resources is of particular importance. One of these energy sources is electricity, with a significant amount b... 详细信息
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A Hybrid binary dragonfly algorithm with an Adaptive Directed Differential Operator for Feature Selection
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REMOTE SENSING 2023年 第16期15卷 3980-3980页
作者: Chen, Yilin Gao, Bo Lu, Tao Li, Hui Wu, Yiqi Zhang, Dejun Liao, Xiangyun Wuhan Inst Technol Sch Comp Sci & Engn Wuhan 430073 Peoples R China Wuhan Inst Technol Hubei Key Lab Intelligent Robot Wuhan 430073 Peoples R China Wuhan Inst Technol Hubei Engn Res Ctr Intelligent Prod Line Equipment Wuhan 430073 Peoples R China China Univ Geosci Sch Comp Sci Wuhan 430073 Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518052 Peoples R China
Feature selection is a typical multiobjective problem including two conflicting objectives. In classification, feature selection aims to improve or maintain classification accuracy while reducing the number of selecte... 详细信息
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Performance Improvement for Optimum Positioning of PMUs using binary dragonfly algorithm and Loss Minimization of Transmission Network
Performance Improvement for Optimum Positioning of PMUs usin...
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Renewable Energy Integration into Smart Grids: A Multidisciplinary Approach to Technology Modelling and Simulation (ICREISG), International Conference on
作者: Sadasiva Behera N. B. Dev Choudhury Debasis Tripathy Rajesh Panda Sanjeev Kumar Bhagat National Institute of Technology Silchar Assam India C.V. Raman College of Enggineering Bhubaneswar India
In recent years, Phasor measurement unit (PMU) is found to be one of the most promising technology in the field of monitoring and controlling of electrical grids. PMUs are to be used to achieve accurate measurements o... 详细信息
来源: 评论
binary dragonfly optimization for feature selection using time-varying transfer functions
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KNOWLEDGE-BASED SYSTEMS 2018年 第Dec.1期161卷 185-204页
作者: Mafarja, Majdi Aljarah, Ibrahim Heidari, Ali Asghar Faris, Hossam Fournier-Viger, Philippe Li, Xiaodong Mirjalili, Seyedali Birzeit Univ Dept Comp Sci Birzeit Palestine Univ Jordan King Abdullah II Sch Informat Technol Amman Jordan Univ Tehran Sch Surveying & Geospatial Engn Tehran Iran Harbin Inst Technol Shenzhen Sch Nat Sci & Humanities HIT Campus Shenzhen Peoples R China RMIT Univ Sch Sci Melbourne Vic Australia Griffith Univ Inst Integrated & Intelligent Syst Brisbane Qld 4111 Australia
The dragonfly algorithm (DA) is a recently proposed heuristic search algorithm that was shown to have excellent performance for numerous optimization problems. In this paper, a wrapper-feature selection algorithm is p... 详细信息
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HBDFA: An intelligent nature-inspired computing with high-dimensional data analytics
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MULTIMEDIA TOOLS AND APPLICATIONS 2024年 第4期83卷 11573-11592页
作者: Dinc, Baris Kaya, Yasin Adana Alparslan Turkes Sci & Technol Univ Dept Comp Engn TR-01250 Adana Turkiye Adana Alparslan Turkes Sci & Technol Univ Dept Artificial Intelligence Engn TR-01250 Adana Turkiye
The rapid development of data science has led to the emergence of high-dimensional datasets in machine learning. The curse of dimensionality is a significant problem caused by high-dimensional data with a small sample... 详细信息
来源: 评论
Deep Convolutional Neural Networks for Accurate Classification of Gastrointestinal Tract Syndromes
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Computers, Materials & Continua 2024年 第1期78卷 1207-1225页
作者: Zahid Farooq Khan Muhammad Ramzan Mudassar Raza Muhammad Attique Khan Khalid Iqbal Taerang Kim Jae-Hyuk Cha Department of Computer Science COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirut13-5053Lebanon Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttock43600Pakistan Department of Computer Science Hanyang UniversitySeoul04763Korea
Accurate detection and classification of artifacts within the gastrointestinal(GI)tract frames remain a significant challenge in medical image *** science combined with artificial intelligence is advancing to automate... 详细信息
来源: 评论