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Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1458-1475
作者:
Jing Liang
;
Hongyu Lin
;
Caitong Yue
;
Ponnuthurai Nagaratnam Suganthan
;
Yaonan Wang
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浏览/下载:0/0
  |  
提交时间:2024/05/22
Benchmark functions
diversity measure
evolutionary algorithms
multimodal multiobjective optimization
A collaborative LSHADE algorithm with comprehensive learning mechanism
期刊论文
Applied Soft Computing Journal, 2020, 卷号: 96
作者:
Zhao, Fuqing
;
Zhao, Lexi
;
Wang, Ling
;
Song, Houbin
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  |  
浏览/下载:9/0
  |  
提交时间:2020/11/14
Covariance matrix
Benchmark functions
Comprehensive learning
Cooperative mechanisms
Cooperative mutations
Exploration and exploitation
Mutation operations
Optimization problems
State of the art
A Gaussian Estimation of Distribution Algorithm Using General Second-order Mixed Moment
期刊论文
Zidonghua Xuebao/Acta Automatica Sinica, 2018, 卷号: 44, 页码: 635-645
作者:
Ren, Zhi-Gang
;
Liang, Yong-Sheng
;
Zhang, Ai-Min
;
Pang, Bei
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  |  
浏览/下载:2/0
  |  
提交时间:2019/11/19
Benchmark functions
Differential evolution algorithms
Estimation of distribution algorithms
Objective functions
Optimization ability
Pre-mature convergences
Probability densities
Search efficiency
A historical interdependency based differential grouping algorithm for large scale global optimization
会议论文
作者:
Chen, An
;
Yang, Yang
;
Ren, Zhigang
;
Liang, Yongsheng
;
Pang, Bei
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  |  
浏览/下载:6/0
  |  
提交时间:2019/11/26
Benchmark functions
Cooperative co-evolution
Decomposition algorithm
Effectiveness and efficiencies
Fitness evaluations
Grouping algorithm
Historical interdependency
Large scale global optimizations
Extreme Learning Machine With Affine Transformation Inputs in an Activation Function
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2018
作者:
Cao, Jiuwen
;
Zhang, Kai
;
Yong, Hongwei
;
Lai, Xiaoping
;
Chen, Badong
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  |  
浏览/下载:6/0
  |  
提交时间:2019/11/26
Activation functions
Benchmark testing
Distributed database
Extreme learning machine
regression
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive
期刊论文
IEEE Transactions on Cybernetics, 2018
作者:
Liang, Yongsheng
;
Ren, Zhigang
;
Yao, Xianghua
;
Feng, Zuren
;
Chen, An
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  |  
浏览/下载:8/0
  |  
提交时间:2019/11/26
Archive
Benchmark functions
Estimation of distribution algorithm (EDA)
Estimation of distribution algorithms
Evolution direction
High-quality solutions
Historical solutions
Pre-mature convergences
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems
会议论文
作者:
Ren, Zhigang
;
Chen, An
;
Wang, Lin
;
Liang, Yongsheng
;
Pang, Bei
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  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
Benchmark functions
Cooperative co-evolution
Decomposition algorithm
Decomposition strategy
Divide and conquer
Fitness evaluations
Large-scale optimization
Large-scale problem
DIVERSITY BASED HYBRID PARTICLE SWARM ALGORITHM
会议论文
International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), NOV 06-09, 2017
作者:
Du, Sheng-Yong
;
Liu, Zhao-Guang
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浏览/下载:3/0
  |  
提交时间:2019/12/31
particle swarm optimization
population diversity
swarm intelligence
hybrid algorithm
benchmark functions
multi-swarms
Design of two-dimensional IIR digital filters by using a novel hybrid optimization algorithm
期刊论文
Multidimensional Systems and Signal Processing, 2016, 页码: 1-15
作者:
Lv, Chao
;
Yan, Shi
;
Cheng, Gang
;
Xu, Li
;
Tian, Xiaoyong
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  |  
浏览/下载:3/0
  |  
提交时间:2017/01/16
Optimization
Algorithms
Bandpass filters
Digital filters
Ecology
Heuristic algorithms
IIR filters
Particle swarm optimization (PSO)
Benchmark functions
Biogeography-based optimizations
Biogeographybased optimizations (BBO)
Global optimum
Global search
Hybrid optimization algorithm
IIR digital filters
Local search
Improving DCNN performance with sparse category-selective objective function
会议论文
作者:
Shizhou, Zhang
;
Gong, Yihong
;
Jinjun, Wang
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  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
Benchmark datasets
Classification performance
Human visual cortex
Network complexity
Neuron population
Objective functions
Performance improvements
Recognition mechanism
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