机构

• 长春光学精密机械与物... [2]
• 自动化研究所 [1]
• 重庆绿色智能技术研究... [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2022 [1]
• 2018 [2]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Novel Adaptive Memory Event-Triggered-Based Fuzzy Robust Control for Nonlinear Networked Systems via the Differential Evolution Algorithm 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1836-1848 作者:  Wei Qian;  Yanmin Wu;  Bo Shen   |  收藏  |  浏览/下载：21/0  |  提交时间：2024/07/16 Adaptive memory event-triggered (AMET)  differential evolution algorithm  fuzzy optimization robust control  interval type-2 (IT2) fuzzy technique   An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis 期刊论文  OAI收割 Journal of Big Data, 2022, 卷号: 9, 期号: 1 作者:  Li,Qing;  Pang,Guansong;  Shang,Mingsheng   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/08/22 Big data analysis  Latent factor analysis  Simulated annealing  Differential evolution algorithm  Multi-parameter adaptive   Composite Hierarchical Anti-Disturbance Control with Multisensor Fusion for Compact Optoelectronic Platforms 期刊论文  OAI收割 SENSORS, 2018, 卷号: 18, 期号: 10, 页码: 25 作者:  Dai, Ming;  Tian, Dapeng;  Wang, Yutang   |  收藏  |  浏览/下载：48/0  |  提交时间：2019/08/21 compact optoelectronic platforms  composite hierarchical anti-disturbance control  adaptive differential evolution algorithm  phase-lag-free multisensor fusion   Hybrid flow shop scheduling with finite buffers 期刊论文  OAI收割 International Journal of Simulation and Process Modelling, 2018, 卷号: 13, 期号: 2, 页码: 156-166 作者:  Han ZH(韩忠华);  Sun Y(孙越);  Ma, Xiaofu;  Lv Z(吕哲);  Li XH(李晓航)   |  收藏  |  浏览/下载：17/0  |  提交时间：2018/06/17 hybrid flow shop  buffer size  probability distribution  self-adaptive differential evolution algorithm   An adaptive image contrast enhancement based on differential evolution (EI CONFERENCE) 会议论文  OAI收割 2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China Yang Q. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 Tubbs proposed a regularized incomplete beta function to represent some nonlinear transform functions most commonly used in image contrast enhancement. But how to define the coefficients of the beta function adaptively is still a problem. Applying the differential evolution in image contrast enhancement  we utilize the global quickly search ability of the differential evolution algorithm  adaptive mutation  search  at last searches the optimal  values of beta function and gets an adaptive contrast enhanced image. To avoid trapping into local optimum  a chaotic differential evolution algorithm is proposed. Experimental results show that the proposed algorithm can find the global optimal  in few iterations and save largely computational time and complexity. 2010 IEEE.