机构

• 金属研究所 [1]
• 长春光学精密机械与物... [1]
• 上海药物研究所 [1]
• 过程工程研究所 [1]
• 生态环境研究中心 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [3]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2021 [1]
• 2020 [1]
• 2016 [1]
• 2009 [2]

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 城市绿地滞尘效应优化研究 学位论文  OAI收割 北京: 中国科学院大学；中国科学院生态环境研究中心, 2021 作者:  张 瑞   |  收藏  |  浏览/下载：13/0  |  提交时间：2022/06/23 气候影响模型，多尺度整合，多尺度优化，绿化需求指数，城市绿化  climate Impact Model, Multi-scale Integration, Multi-scale Optimization, Greening Demand Index, Urban Greening   Analysis of the energy-minimization multiscale model with multiobjective optimization 期刊论文  OAI收割 PARTICUOLOGY, 2020, 卷号: 48, 页码: 109-115 作者:  Mo, Yi;  Du, Mengjie;  Ge, Wei;  Zhang, Pingwen   |  收藏  |  浏览/下载：27/0  |  提交时间：2020/05/06 Energy-minimization Multi-scale Model  Multiobjective Optimization  Flow Regime Transition   Friction Estimation and Roll Force Prediction during Hot Strip Rolling 期刊论文  OAI收割 JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL, 2016, 卷号: 23, 期号: 12, 页码: 1268-1276 作者:  Li Weigang;  Liu Chao;  Feng Ning;  Chen Xi;  Liu Xianghua   |  收藏  |  浏览/下载：5/0  |  提交时间：2021/02/26 OXIDE SCALE  PRESSURE  STEEL  MODEL  MILL  hot rolling  roll force  friction coefficient  soft measurement  multi-objective optimization   A novel conformation optimization model and algorithm for structure-based drug design 期刊论文  OAI收割 JOURNAL OF MATHEMATICAL CHEMISTRY, 2009, 卷号: 46, 期号: 1, 页码: 182-198 作者:  Kang, Ling;  Li, Honglin;  Zhao, Xiaoyu;  Jiang, Hualiang;  Wang, Xicheng   |  收藏  |  浏览/下载：20/0  |  提交时间：2019/01/08 Information entropy  Genetic algorithm  Molecular docking  Multi-scale optimization model  Residue groups   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：30/0  |  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.