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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
数学与系统科学研究院 [4]
自动化研究所 [4]
长春光学精密机械与物... [2]
力学研究所 [1]
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OAI收割 [11]
内容类型
期刊论文 [7]
会议论文 [3]
学位论文 [1]
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2024 [2]
2020 [1]
2019 [1]
2018 [1]
2017 [1]
2011 [1]
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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
A Modified Nonlinear Conjugate Gradient Algorithm for Large-Scale Nonsmooth Convex Optimization
期刊论文
OAI收割
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2020, 页码: 16
作者:
Woldu, Tsegay Giday
;
Zhang, Haibin
;
Zhang, Xin
;
Fissuh, Yemane Hailu
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2020/03/30
Conjugate gradient method
Moreau-Yosida regularization
Nonsmooth large-scale problems
Global convergence
A subspace SQP method for equality constrained optimization
期刊论文
OAI收割
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2019, 卷号: 74, 期号: 1, 页码: 177-194
作者:
Lee, Jae Hwa
;
Jung, Yoon Mo
;
Yuan, Ya-xiang
;
Yun, Sangwoon
  |  
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2020/01/10
Equality constrained optimization
SQP method
Large scale problems
Subspace techniques
Damped limited-memory BFGS update
A GENERAL TWO-LEVEL SUBSPACE METHOD FOR NONLINEAR OPTIMIZATION
期刊论文
OAI收割
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2018, 卷号: 36, 期号: 6, 页码: 881-902
作者:
Chen, Chong
;
Wen, Zaiwen
;
Yuan, Yaxiang
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/03/05
Nonlinear optimization
Convex and nonconvex problems
Subspace technique
Multigrid/multilevel method
Large-scale problems
Elite bases regression: A real-time algorithm for symbolic regression
会议论文
OAI收割
Guilin, Guangxi, China, July 29, 2017 - July 31, 2017
作者:
Chen C(陈辰)
;
Luo ZT(罗长童)
;
Jiang ZL(姜宗林)
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2018/11/08
Data mining
Fuzzy systems
Genetic algorithms
Genetic programming
Iterative methods
Learning systems
Comparative studies
Correlation coefficient
Function extraction
Large
scale problem
Machine learning methods
Real time algorithms
Symbolic regression
Symbolic regression problems
Implementation of a fast simulation algorithm for terrain based on dynamic LOD (EI CONFERENCE)
会议论文
OAI收割
IEEE 2011 10th International Conference on Electronic Measurement and Instruments, ICEMI 2011, August 16, 2011 - August 18, 2011, Chengdu, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
In-depth study and explore dynamic quad tree rendering of large-scale terrain. Investigated the problems
which was urgently to be solved
about quad tree. Studied the features and application of dynamic quad tree algorithm and static quad tree algorithm. Analyze and explore the problems about quad tree construction
data storage that is significant in modeling
removing of the grid back
and elimination of T-type fracture. In this study
an algorithm based on storage array was proposed on the basis of the previous research to eliminate T-type fracture. The results showed that the new algorithm not only enhance the streamline effect
but also increased the rendering speed in the large-scale virtual terrain rendering process. The draw rate was enhanced from 8-10 frames/s up to 20-23 frames/s. 2011 IEEE.
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.
Monotone projected gradient methods for large-scale box-constrained quadratic programming
期刊论文
OAI收割
SCIENCE IN CHINA SERIES A-MATHEMATICS, 2006, 卷号: 49, 期号: 5, 页码: 688-702
作者:
Zhou Bin
;
Gao Li
;
Dai Yuhong
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2018/07/30
projected gradients
monotone gradient methods
box-constrained quadratic programming
large-scale problems
An increasing-angle property of the conjugate gradient method and the implementation of large-scale minimization algorithms with line searches
期刊论文
OAI收割
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 2003, 卷号: 10, 期号: 4, 页码: 323-334
作者:
Dai, YH
;
Martinez, JM
;
Yuan, JY
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2018/07/30
conjugate gradients
unconstrained minimization
truncated Newton methods
truncated quasi-Newton methods
large scale problems