咨询与建议

限定检索结果

文献类型

  • 45 篇 期刊文献
  • 14 篇 会议

馆藏范围

  • 59 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 57 篇 工学
    • 34 篇 计算机科学与技术...
    • 16 篇 电气工程
    • 16 篇 控制科学与工程
    • 7 篇 软件工程
    • 6 篇 信息与通信工程
    • 5 篇 石油与天然气工程
    • 4 篇 仪器科学与技术
    • 4 篇 动力工程及工程热...
    • 3 篇 机械工程
    • 3 篇 土木工程
    • 2 篇 环境科学与工程(可...
    • 1 篇 材料科学与工程(可...
    • 1 篇 建筑学
    • 1 篇 水利工程
    • 1 篇 化学工程与技术
    • 1 篇 交通运输工程
    • 1 篇 航空宇航科学与技...
    • 1 篇 生物工程
    • 1 篇 安全科学与工程
    • 1 篇 网络空间安全
  • 14 篇 管理学
    • 14 篇 管理科学与工程(可...
  • 7 篇 理学
    • 3 篇 数学
    • 3 篇 化学
    • 1 篇 地球物理学
    • 1 篇 生物学
    • 1 篇 统计学(可授理学、...
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 法学
    • 1 篇 法学
  • 1 篇 农学
    • 1 篇 作物学
  • 1 篇 医学
    • 1 篇 临床医学

主题

  • 59 篇 moth-flame optim...
  • 4 篇 optimization
  • 3 篇 multi-objective ...
  • 3 篇 convergence
  • 3 篇 gaussian mutatio...
  • 3 篇 engineering opti...
  • 3 篇 feature selectio...
  • 2 篇 firefly algorith...
  • 2 篇 parameter optimi...
  • 2 篇 power system sta...
  • 2 篇 support vector m...
  • 2 篇 cauchy mutation
  • 2 篇 particle swarm o...
  • 2 篇 meta-heuristic a...
  • 2 篇 crisscross optim...
  • 2 篇 swarm intelligen...
  • 2 篇 renewable energy
  • 2 篇 radial distribut...
  • 2 篇 simulated anneal...
  • 2 篇 optimization alg...

机构

  • 5 篇 yanshan univ key...
  • 3 篇 wenzhou univ col...
  • 2 篇 duy tan univ ins...
  • 2 篇 hubei univ techn...
  • 2 篇 hebei univ techn...
  • 2 篇 shenzhen inst in...
  • 2 篇 hebei univ techn...
  • 2 篇 jilin univ coll ...
  • 2 篇 natl univ singap...
  • 1 篇 wenzhou med univ...
  • 1 篇 alexandria univ ...
  • 1 篇 hefei univ techn...
  • 1 篇 yonsei univ yons...
  • 1 篇 univ technol bel...
  • 1 篇 asia univ inst i...
  • 1 篇 univ salerno dep...
  • 1 篇 univ kebangsaan ...
  • 1 篇 southwest jiaoto...
  • 1 篇 dayananda sagar ...
  • 1 篇 wuhan text univ ...

作者

  • 4 篇 zhao xiaodong
  • 4 篇 xu miao
  • 4 篇 chen huiling
  • 4 篇 fang yiming
  • 3 篇 xu yueting
  • 3 篇 liu le
  • 2 篇 li ling-ling
  • 2 篇 mirjalili seyeda...
  • 2 篇 zhao xuehua
  • 2 篇 heidari ali asgh...
  • 1 篇 yu helong
  • 1 篇 abdul-malek zulk...
  • 1 篇 becherif m.
  • 1 篇 lu haiyan
  • 1 篇 han lin
  • 1 篇 tan raymond r.
  • 1 篇 zhen ran
  • 1 篇 jamunaa d.
  • 1 篇 ostadi ali
  • 1 篇 mohanty banaja

语言

  • 56 篇 英文
  • 3 篇 其他
检索条件"主题词=moth-flame optimization algorithm"
59 条 记 录,以下是51-60 订阅
排序:
A New Hybrid Machine Learning Approach for Prediction of Phenanthrene Toxicity on Mice
收藏 引用
IEEE ACCESS 2019年 7卷 138461-138472页
作者: Xu, Yueting Yu, Keting Wang, Pengjun Chen, Huiling Zhao, Xuehua Zhu, Jiayin Wenzhou Univ Coll Comp Sci & Artificial Intelligence Wenzhou 325035 Peoples R China Wenzhou Med Univ Sch Clin Med Sci 1 Sch Informat & Engn Wenzhou 325035 Peoples R China Shenzhen Inst Informat Technol Sch Digital Media Shenzhen 518172 Guangdong Peoples R China Wenzhou Med Univ Lab Anim Ctr Wenzhou 325035 Peoples R China
Phenanthrene, a PAH with three fused benzene rings, is usually used as a model for the study on PAHs. During 4 days, 166 male mice were equally and randomly divided into two groups. One group was given vehicle-corn oi... 详细信息
来源: 评论
Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms
收藏 引用
COMPUTERS AND ELECTRONICS IN AGRICULTURE 2021年 191卷 106541-106541页
作者: Adnan, Rana Muhammad Mostafa, Reham R. Islam, Abu Reza Md. Towfiqul Kisi, Ozgur Kuriqi, Alban Heddam, Salim Guangzhou Univ Sch Econ & Stat Guangzhou 510006 Peoples R China Hohai Univ State Key Lab Hydrol Water Resources & Hydraul En Nanjing 210098 Peoples R China Mansoura Univ Fac Comp & Informat Sci Informat Syst Dept Mansoura 35516 Egypt Begum Rokeya Univ Dept Disaster Management Rangpur 5400 Bangladesh Univ Appl Sci Dept Civil Engn D-23562 Lubeck Germany Ilia State Univ Dept Civil Engn Tbilisi 0162 Georgia Univ Lisbon Inst Super Tecn CERIS Lisbon Portugal Univ 20 Aout 1955 Hydraul Div Agron Dept Fac Sci Route El HadaikBP 26 Skikda Algeria
Hybrid heuristic algorithm (HA), an innovative technique in the machine learning field, enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of paramount significance for regional water man... 详细信息
来源: 评论
Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia
收藏 引用
ENERGY 2022年 第PartE期239卷 122463-122463页
作者: Neshat, Mehdi Mirjalili, Seyedali Sergiienko, Nataliia Y. Esmaeilzadeh, Soheil Amini, Erfan Heydari, Azim Garcia, Davide Astiaso Univ Adelaide Sch Comp Sci Optimisat & Logist Grp Adelaide SA Australia Torrens Univ Australia Ctr Artificial Intelligence Res & Optimizat Brisbane Qld 4006 Australia Yonsei Univ Yonsei Frontier Lab Seoul South Korea Univ Adelaide Sch Mech Engn Adelaide SA Australia Stanford Univ Dept Energy Resources Engn Stanford CA 94305 USA Stevens Inst Technol Dept Civil Environm & Ocean Engn Hoboken NJ 07030 USA Sapienza Univ Rome Dept Astronaut Elect & Energy Engn DIAEE Rome Italy Sapienza Univ Rome Dept Planning Design & Technol Architecture Rome Italy
Wave energy technologies have the potential to play a significant role in the supply of renewable energy worldwide. One of the most promising designs for wave energy converters (WECs) are fully submerged buoys. In thi... 详细信息
来源: 评论
Cross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithms
收藏 引用
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 2022年 第0期126卷 1页
作者: Zhou, Jian Shen, Xiaojie Qiu, Yingui Shi, Xiuzhi Khandelwal, Manoj Cent South Univ Sch Resources & Safety Engn Changsha 410083 Peoples R China Federat Univ Australia Inst Innovat Sci & Sustainabil Ballarat Vic 3350 Australia
Microseismic location systems tend to be high-speed and precise. However, the requirement of high precision tends to slow down the calculation speed. Fortunately, metaheuristics are able to alleviate this problem. In ... 详细信息
来源: 评论
MFeature: Towards high performance evolutionary tools for feature selection
收藏 引用
EXPERT SYSTEMS WITH APPLICATIONS 2021年 186卷 115655-115655页
作者: Xu, Yueting Huang, Hui Heidari, Ali Asghar Gui, Wenyong Ye, Xiaojia Chen, Ying Chen, Huiling Pan, Zhifang Wenzhou Univ Coll Comp Sci & Artificial Intelligence Wenzhou 325035 Peoples R China South China Univ Technol Guangzhou 510000 Peoples R China Univ Tehran Sch Surveying & Geospatial Engn Coll Engn Tehran Iran Natl Univ Singapore Sch Comp Dept Comp Sci Singapore Singapore Shanghai Lixin Univ Accounting & Finance Shanghai 201209 Peoples R China Nanchang Hangkong Univ Sch Software Nanchang 330063 Jiangxi Peoples R China Wenzhou Med Univ Affiliated Hosp 1 Wenzhou 325000 Peoples R China
Feature selection commonly refers to a process of using the candidate algorithm to detect the optimal feature sets during the preprocessing steps in machine learning and data mining. This procedure can optimize the da... 详细信息
来源: 评论
An echo state network model with the protein structure for time series prediction
收藏 引用
APPLIED SOFT COMPUTING 2024年 153卷
作者: Gong, Yuanpeng Lun, Shuxian Li, Ming Lu, Xiaodong Bohai Univ Coll Math Sci Jinzhou 121013 Liaoning Peoples R China Bohai Univ Coll Control Sci & Engn Jinzhou 121013 Liaoning Peoples R China Suqian Univ Coll Informat Engn Suqian 223800 Jiangsu Peoples R China
From the perspective of bionics of biological structure, this paper proposes a new reservoir topology structure with an a -helix form of the secondary protein, named S -ESN. This network model has some advantages comp... 详细信息
来源: 评论
Ameliorated moth-flame algorithm and its application for modeling of silicon content in liquid iron of blast furnace based fast learning network
收藏 引用
APPLIED SOFT COMPUTING 2020年 94卷 106418-106418页
作者: Zhao, Xiaodong Fang, Yiming Liu, Le Xu, Miao Zhang, Pan Yanshan Univ Key Lab Ind Comp Control Engn Hebei Prov Qinhuangdao 066004 Hebei Peoples R China Yanshan Univ Engn Res Ctr Educ Minist Intelligent Control Syst & Intelligen Qinhuangdao 066004 Hebei Peoples R China
moth-flame optimization (MFO) algorithm is a widely used nature-inspired optimization algorithm. However, for some complex optimization problems, such as high dimensional and multimodal problems, the MFO may fall into... 详细信息
来源: 评论
Research on Parameter optimization Method of Sliding Mode Controller for the Grid-Connected Composite Device Based on IMFO algorithm
收藏 引用
SENSORS 2023年 第1期23卷 149-149页
作者: Sun, Ji Liu, Jiajun Miao, Miao Lin, Haokun Xian Univ Technol Sch Elect Engn Xian 710048 Peoples R China
In order to make the grid-connected composite device (GCCD) controller meet the requirements of different operating modes and complex working conditions of power grid, this paper proposes to introduce sliding mode con... 详细信息
来源: 评论
Dynamic economic emission dispatch considering renewable energy generation: A novel multi-objective optimization approach
收藏 引用
ENERGY 2021年 235卷 121407-121407页
作者: Liu, Zhi-Feng Li, Ling-Ling Liu, Yu-Wei Liu, Jia-Qi Li, Heng-Yi Shen, Qiang Hebei Univ Technol State Key Lab Reliabil & Intelligence Elect Equip Tianjin 300130 Peoples R China Hebei Univ Technol Key Lab Electromagnet Field & Elect Apparat Relia Tianjin 300130 Peoples R China
This study contributes to construct the mathematical model of hybrid dynamic economic emission dispatch (HDEED) considering renewable energy generation and propose a novel solving approach based on enhanced moth-flame... 详细信息
来源: 评论