机构

• 长春光学精密机械与物... [1]
• 过程工程研究所 [1]
• 自动化研究所 [1]
• 武汉岩土力学研究所 [1]
• 近代物理研究所 [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

• 2023 [1]
• 2022 [1]
• 2021 [1]
• 2020 [1]
• 2010 [1]

学科主题

• Engineerin... [1]

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发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 A Chaotic Local Search-Based Particle Swarm Optimizer for Large-Scale Complex Wind Farm Layout Optimization 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1168-1180 作者:  Zhenyu Lei;  Shangce Gao;  Zhiming Zhang;  Haichuan Yang;  Haotian Li   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/04/26 Chaotic local search (CLS)  evolutionary computation  genetic learning  particle swarm optimization (PSO)  wake effect  wind farm layout optimization (WFLO)   Multi-objective optimization-based prediction of excavation-induced tunnel displacement 期刊论文  OAI收割 UNDERGROUND SPACE, 2022, 卷号: 7, 期号: 5, 页码: 735 作者:  Tao, Yuanqin;  He, Wei;  Sun, Honglei;  Cai, Yuanqiang;  Chen, Junqiang   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/08/02 Tunnel displacement  Excavation  Time effect  Multi-objective particle swarm optimization  Parameter identification   CFD simulation of bubble column hydrodynamics with a novel drag model based on EMMS approach 期刊论文  OAI收割 CHEMICAL ENGINEERING SCIENCE, 2021, 卷号: 243, 页码: 11 作者:  Guan, Xiaoping;  Yang, Ning   |  收藏  |  浏览/下载：75/0  |  提交时间：2021/08/31 DBS model  Drag model  Swarm effect  CFD  Bubble column   Beam-loss driven injection optimization for HIAF-BRing in the presence of space charge 期刊论文  OAI收割 NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2020, 卷号: 951, 页码: 7 作者:  Yao, L. P.;  Chai, W. P.;  Yang, J. C.;  Xia, J. W.;  Shen, G. D.   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/01/19 HIAF  BRing  Two-plane painting multiturn injection  Space charge effect  Particle swarm algorithm  Optimization   The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China 作者:  Liu J.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 In order to solve the registration problem of different source image existed on aerial image fusion  algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper  and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed  high accuracy and high reliability. Basically  with little restriction of gray level properties  a new alignment measure is applied  which can efficiently measure the image registration extent and tolerate noise well. Even more  the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that  the study attains the registration accuracy of pixel level  and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM  solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time  the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms  and the registration result has higher accuracy and stability  which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect  and is easy for application and very suitable for engineering use. 2010 IEEE.