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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [3]
数学与系统科学研究院 [2]
长春光学精密机械与物... [1]
采集方式
OAI收割 [6]
内容类型
期刊论文 [5]
会议论文 [1]
发表日期
2024 [2]
2021 [1]
2018 [1]
2016 [1]
2009 [1]
学科主题
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Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1786-1801
作者:
Sheng Qi
;
Rui Wang
;
Tao Zhang
;
Weixiong Huang
;
Fan Yu
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2024/07/16
Evolutionary algorithms
pattern mining
sparse large-scale multi-objective problems (SLMOPs)
sparse large-scale optimization
A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357
作者:
Sheng Qi
;
Rui Wang
;
Tao Zhang
;
Xu Yang
;
Ruiqing Sun
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/05/22
Evolutionary algorithms
learning swarm optimization
sparse large-scale optimization
sparse large-scale multi-objective problems
two-layer encoding
Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6050-6065
作者:
Wang, Bo
;
Yuan, Chunfeng
;
Li, Bing
;
Ding, Xinmiao
;
Li, Zeya
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/08/15
Location awareness
Neurons
Task analysis
Pattern recognition
Automation
Search problems
Proposals
Weakly supervised object localization
feature recalibration
multi-scale class activation mapping
Multi-scale asymptotic analysis and computation of the elliptic eigenvalue problems in curvilinear coordinates
期刊论文
OAI收割
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2018, 卷号: 340, 页码: 340-365
作者:
Ma, Qiang
;
Li, Zhihui
;
Cui, Junzhi
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2018/10/07
Homogenization method
Multi-scale asymptotic expansion
Eigenvalue problems
Finite element approximation
Coordinate transformation
Chinese-German Computational and Applied Mathematics
期刊论文
OAI收割
COMPUTATIONAL METHODS IN APPLIED MATHEMATICS, 2016, 卷号: 16, 期号: 4, 页码: 605-608
作者:
Hoppe, Ronald H. W.
;
Hu, Jun
;
Peter, Malte A.
;
Rannacher, Rolf
;
Shi, Zhongci
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2018/07/30
Scientific Computing
Mathematical Modeling
Optimization
Multi-Scale Problems
Optimizing control mode of optical payloads based on multi-population genetic algorithm (EI CONFERENCE)
会议论文
OAI收割
2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China
Xu W.
;
Jin G.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
Optimizing the control mode of optical payload could improve the payload's work efficiency. When the mathematic model of payload's control mode was established
optimization problems could be boiled down to seek the maximal value of the function with many variables. This paper put forward a calculational method to base the mathematic model
the calculational method was multi-population genetic algorithm (MPGA). After the 0-1 variables and real multidimensional ones had been coded separately
the algorithm established the populations independently
made the multidimensional variables as the centrosome and combined 0-1 ones to work out the maximal value of the function which was established to describe the control mode of the optical payload. Moreover
the emulational experiment had been done with the material arithmetic operators. The result indicates that the method using MPGA can hurdle the disadvantage of traditional ones which calculate slowly and get into local best value trap easily . It has the characters that not only fits large scale area scout
but also gets the best value in full scale rapidly
so this algorithm can better satisfy the technology demand for the intelligent control of optical payload. 2009 IEEE.