咨询与建议

限定检索结果

文献类型

  • 156 篇 期刊文献
  • 52 篇 会议

馆藏范围

  • 208 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 192 篇 工学
    • 70 篇 计算机科学与技术...
    • 54 篇 电气工程
    • 38 篇 控制科学与工程
    • 28 篇 石油与天然气工程
    • 21 篇 动力工程及工程热...
    • 20 篇 机械工程
    • 20 篇 土木工程
    • 13 篇 信息与通信工程
    • 13 篇 软件工程
    • 11 篇 材料科学与工程(可...
    • 10 篇 仪器科学与技术
    • 9 篇 力学(可授工学、理...
    • 9 篇 化学工程与技术
    • 7 篇 交通运输工程
    • 7 篇 船舶与海洋工程
    • 7 篇 环境科学与工程(可...
    • 6 篇 建筑学
    • 5 篇 电子科学与技术(可...
    • 5 篇 水利工程
    • 5 篇 航空宇航科学与技...
  • 38 篇 理学
    • 17 篇 数学
    • 7 篇 化学
    • 6 篇 物理学
    • 6 篇 生物学
    • 4 篇 海洋科学
    • 4 篇 地球物理学
  • 32 篇 管理学
    • 28 篇 管理科学与工程(可...
  • 3 篇 农学
  • 3 篇 医学
  • 1 篇 教育学
  • 1 篇 艺术学

主题

  • 208 篇 hybrid optimizat...
  • 11 篇 particle swarm o...
  • 10 篇 differential evo...
  • 6 篇 multi-objective ...
  • 6 篇 gravitational se...
  • 6 篇 genetic algorith...
  • 5 篇 optimization
  • 4 篇 optimal power fl...
  • 4 篇 electric vehicle...
  • 4 篇 biogeography-bas...
  • 4 篇 simplex method
  • 4 篇 machine learning
  • 4 篇 particle swarm o...
  • 3 篇 internet of thin...
  • 3 篇 ant colony optim...
  • 3 篇 power system sta...
  • 3 篇 distributed gene...
  • 3 篇 battery energy s...
  • 3 篇 artificial bee c...
  • 3 篇 cuckoo search al...

机构

  • 4 篇 hunan univ coll ...
  • 4 篇 indian inst tech...
  • 3 篇 dalian univ tech...
  • 3 篇 henan univ sci &...
  • 3 篇 nanyang technol ...
  • 3 篇 dalian maritime ...
  • 2 篇 univ tabriz dept...
  • 2 篇 univ mohaghegh a...
  • 2 篇 school of inform...
  • 2 篇 mustansiriyah un...
  • 2 篇 univ witwatersra...
  • 2 篇 tech univ cluj n...
  • 2 篇 shahrood univ te...
  • 2 篇 sichuan univ col...
  • 2 篇 shanghai jiao to...
  • 2 篇 univ kerbala dep...
  • 2 篇 dalian maritime ...
  • 2 篇 dalian univ tech...
  • 2 篇 tsinghua univ de...
  • 2 篇 henan univ sci &...

作者

  • 4 篇 devarapalli rame...
  • 4 篇 radosavljevic jo...
  • 4 篇 bhattacharyya bi...
  • 4 篇 yuan xiaofang
  • 3 篇 teo kok lay
  • 3 篇 xie jun
  • 3 篇 jevtic miroljub
  • 3 篇 yuan jinlong
  • 3 篇 wang yaonan
  • 3 篇 fodorean daniel
  • 3 篇 idoumghar lhassa...
  • 3 篇 zhao long
  • 3 篇 lin yan
  • 3 篇 shi yi
  • 2 篇 cui ningbo
  • 2 篇 yan shi
  • 2 篇 wu guohua
  • 2 篇 wang hui
  • 2 篇 cheng ling
  • 2 篇 hofsajer ivan w.

语言

  • 187 篇 英文
  • 18 篇 其他
  • 1 篇 土耳其文
  • 1 篇 中文
检索条件"主题词=Hybrid optimization Algorithm"
208 条 记 录,以下是181-190 订阅
排序:
Improved performances of a PMSM with reduced torque ripples, optimized based on hybrid algorithm, dedicated for light EV
Improved performances of a PMSM with reduced torque ripples,...
收藏 引用
IEEE Vehicle Power and Propulsion Conference
作者: Daniel FODOREAN Lhassane IDOUMGHAR Technical University of Cluj-Napoca Universite de Haute-Alsace
This paper deals with the optimum design of a permanent magnet synchronous machine (PMSM) used for the propulsion of a light electric vehicle. The optimization is employed based on evolutionary algorithm by combining ... 详细信息
来源: 评论
Multi-state Markov process Based Maintenance optimization for Power Distribution Transformer
Multi-state Markov process Based Maintenance Optimization fo...
收藏 引用
International Conference on Power System Technology (PowerCon)
作者: Liang Hai-feng Zhang Jing Gao Ya-jing North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewabl Baoding 071003 Peoples R China
Pointing at optimization of the distribution transformer's maintenance based on risk, firstly this paper proposed an equipment failure rate model based on Multi-state Markov process that is suitable for Condition ... 详细信息
来源: 评论
An Efficient hybrid optimization algorithm Based on Lagged-start and Parallel Operation
An Efficient Hybrid Optimization Algorithm Based on Lagged-s...
收藏 引用
International Conference on Web Information Systems and Mining
作者: Yu Guofang Zhang Yujie China Univ Min & Technol Coll Informat & Elect Engn Xuzhou 221116 Jiangsu Prov Peoples R China Xuzhou AF Coll Dept Logist Command Xuzhou Peoples R China
Fast convergence-rate, low computation-complexity and good stability are important goals in the researching area of neural network learning algorithm. A kind of parallel computing lagged-start hybrid optimization algo... 详细信息
来源: 评论
The Design Study on A Novel MW Wind Power Generation Speed-up Machine
The Design Study on A Novel MW Wind Power Generation Speed-u...
收藏 引用
3rd International Conference on Materials Science and Engineering (ICMSE 2014)
作者: Han, Lifen Ding, Weifeng Zhong, Shouyan Liao, Zilong Dongguan Univ Technol Coll Mech Engn Dongguan Peoples R China South China Univ Technol Sch Mech & Automot Engn Guangzhou Peoples R China
A novel efficient transmission, toroidal drive, was introduced into the field of wind power. A novel MW (Million Watt) wind power generation speed-up machine (WPGSM) was designed to replace the gear speed-up machine. ... 详细信息
来源: 评论
Optimal Power Flow Using hybrid PSOGSA algorithm  55
Optimal Power Flow Using Hybrid PSOGSA Algorithm
收藏 引用
55th International Scientific Conference on Power and Electrical Engineering of Riga-Technical-University (RTUCON)
作者: Radosavljevic, Jordan Arsic, Nebojsa Jevtic, Miroljub Univ Pristina Fac Tech Sci Kosovska Mitrovica Serbia
This paper presents a new hybrid algorithm based on the particle swarm optimization (PSO) and the gravitational search algorithm (GSA) for solving the optimal power flow (OPF) in power systems. Performance of this app... 详细信息
来源: 评论
A Novel hybrid optimization Method of Shuffled Frog Leaping algorithm and Particle Swarm optimization
A Novel Hybrid Optimization Method of Shuffled Frog Leaping ...
收藏 引用
2013 2nd International Conference on Key Engineering Materials and Computer Science(KEMCS 2013)
作者: LIN Meijin LUO Fei XU Yuge LUO long Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and Technology South China University of Technology Foshan university
Shuffled frog leaping algorithm(SFLA) is a meta-heuristic algorithm, which combines the social behavior technique and the global information exchange of memetic algorithms. But the SFLA has the shortcoming of low conv... 详细信息
来源: 评论
hybrid artificial immune system in identification of room acoustic properties
收藏 引用
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING 2013年 第6期21卷 957-967页
作者: Poteralski, A. Szczepanik, M. Ptaszny, J. Kus, W. Burczynski, T. Silesian Tech Univ Inst Computat Mech & Engn Gliwice Poland Cracow Univ Technol Inst Comp Sci Krakow Poland
The paper deals with an application of a hybrid artificial immune system (HAIS) to the identification problems. The HAIS is applied to identify complex impedances of room walls. This approach is based on the mechanism... 详细信息
来源: 评论
STRATEGIC INIITIALIZATION OF A hybrid PARTICLE SWARM optimization-SIMULLATED ANNEALING algorithm (HPSOSA) FOR PID CONTROLLER DESIGN FOR A NONLINEAR SYSTEM
STRATEGIC INIITIALIZATION OF A HYBRID PARTICLE SWARM OPTIMIZ...
收藏 引用
25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
作者: Tharmalingam, Mathiruban Raahemifar, Kaamran Ryerson Univ Dept Elect Engn & Comp Engg Toronto ON Canada
There exist some variations of the particle swarm optimization - simulated annealing optimization technique (PSOSA) hybrid algorithm for solving the PID control design problem, however most of these algorithms use the... 详细信息
来源: 评论
TWT magnetic focusing structure optimization by parallel evolutionary algorithm
收藏 引用
COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING 2012年 第5期31卷 1338-1346页
作者: Coco, Salvatore Laudani, Antonino Pollicino, Giuseppe Pulcini, Giuseppe Fulginei, Francesco Riganti Salvini, Alessandro Univ RomaTre Dipartimento Elettron Applicata Rome Italy Univ Catania Dipartimento Ingn Elettr Elettron & Informat Catania Italy Univ RomaTre Res Unit Electrotech Rome Italy
Purpose - The purpose of this paper is to present the application of a novel hybrid algorithm, called MeTEO (Metric-Topological-Evolutionary-optimization), based on the combination of three heuristics inspired by arti... 详细信息
来源: 评论
Improved parallel chaos optimization algorithm
收藏 引用
APPLIED MATHEMATICS AND COMPUTATION 2012年 第8期219卷 3590-3599页
作者: Yuan, Xiaofang Yang, Yimin Wang, Hui Hunan Univ Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China
Chaos optimization algorithm (COA), which has the features of easy implementation, short execution time and robust mechanisms of escaping from the local optimum, is a promising tool for the engineering applications. T... 详细信息
来源: 评论