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武汉大学 [2]
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期刊论文 [14]
会议论文 [5]
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An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning
会议论文
作者:
Zhao, Fuqing
;
Zhang, Lixin
;
Zhang, Yi
;
Ma, Weimin
;
Zhang, Chuck
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  |  
浏览/下载:7/0
  |  
提交时间:2020/12/18
Covariance matrix
Global optimizationCrossover operator
Evolution process
Evolution strategies
Global exploration
Global optimisation
Initial population
Opposition-based learning
State of the art
Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors
期刊论文
Engineering, 2019, 卷号: 5, 期号: 1, 页码: 164-172
作者:
Yu NB(于宁波)
;
Wang SR(王石荣)
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  |  
浏览/下载:44/0
  |  
提交时间:2019/02/24
Autonomous exploration
RGB-DSensor fusion
Point cloud
Partial map simulation
Global frontier search
Hybrid meta-model-based design space exploration method for expensive problems
期刊论文
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2019, 卷号: Vol.59 No.3, 页码: 907-917
作者:
Gan, NF
;
Gu, JC
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/17
Hybrid meta-model
Design space exploration
Important region
Expensive problems
Global optimization
Enhancing differential evolution with random neighbors based strategy
期刊论文
JOURNAL OF COMPUTATIONAL SCIENCE, 2018, 卷号: 26
作者:
Peng, Hu
;
Guo, Zhaolu
;
Deng, Changshou
;
Wu, Zhijian
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Differential evolution
Global optimization
Random neighbor
Exploration and exploitation
Full field apparent resistivity definition of borehole TEM with grounded electric source
会议论文
作者:
Wu, Junjie
;
Zhi, Qingquan
;
Deng, Xiaohong
;
Wu, Junjie
;
Li, Xiu
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  |  
浏览/下载:9/0
  |  
提交时间:2018/11/12
grounded electric source
borehole TEM
three-component response
global apparent resistivity
deep exploration
An Adaptive Hybrid Genetic Algorithm for VLSI Standard Cell Placement Problem
会议论文
作者:
Chen, Xiongfeng
;
Lin, Geng
;
Chen, Jianli
;
Zhu, Wenxing
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  |  
浏览/下载:10/0
  |  
提交时间:2019/11/21
very large scale integration (VLSI) physical design
global exploration
local exploitation
standard cell placemen
adaptive hybrid genetic algorithm
A comparative study of expected improvement-assisted global optimization with different surrogates
期刊论文
Engineering Optimization, 2016, 卷号: Vol.48 No.8, 页码: 1432-1458
作者:
Wang, Hu
;
Ye, Fan
;
Li, Enying
;
Li, Guangyao
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
surrogate-assisted optimization (SAO)
efficient global optimization (EGO)
exploration
exploitation
multiple surrogates
A comparative study of expected improvement-assisted global optimization with different surrogates
期刊论文
Engineering Optimization, 2016, 卷号: 48, 期号: 8, 页码: 1432-1458
作者:
Wang, Hu*
;
Ye, Fan
;
Li, Enying
;
Li, Guangyao
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/28
surrogate-assisted optimization (SAO)
efficient global optimization (EGO)
exploration
exploitation
multiple surrogates
Orbit improvement for Chang'E-5T lunar returning probe with GNSS technique
期刊论文
ADVANCES IN SPACE RESEARCH, 2015, 卷号: 56, 期号: 11, 页码: 2473-2482
作者:
Fan, Min
;
Hu, XiaoGong
;
Dong, Guangliang
;
Huang, Yong
;
Cao, Jianfeng
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  |  
浏览/下载:62/0
  |  
提交时间:2016/01/14
Chinese lunar exploration program
Global navigation satellite system
Weak signal acquisition and tracking performance
Fusion processing of space- and ground-based data
Accuracy of orbit determination and prediction
Meta model-based global design optimization and exploration method
期刊论文
Tuijin Jishu/Journal of Propulsion Technology, 2015, 卷号: 36, 期号: [db:dc_citation_issue], 页码: 207-216
作者:
Guo, Zhen-Dong
;
Song, Li-Ming
;
Li, Jun
;
Li, Guo-Jun
;
Feng, Zhen-Ping
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
Exploration methods
Global optimization algorithm
Isentropic efficiency
Kriging model
Meta model
Modified differential evolution algorithms
Performance improvements
Turbo-machinery design
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