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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：北京大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序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 Scheduling of Stochastic Distributed Assembly Flowshop under Complex Constraints 其他 2016-01-01 Du, Xiying; Ji, Mengchen; Li, Zhengyang; Liu, Bo 收藏  |  浏览/下载：6/0  |  提交时间：2017/12/03 combinatorial optimization  distributed assembly permutation flowshop scheduling  memetic algorithm  particle swarm optimization  sequence dependent setup time  release time  stochastic  no-wait constraint  MEMETIC FRAMEWORK  OPTIMIZATION  ALGORITHMS   Development of a constructed wetland network for mitigating nonpoint source pollution through a GIS-based watershed-scale inexact optimization approach 期刊论文 ECOLOGICAL ENGINEERING, 2016 Dai, C.; Guo, H. C.; Tan, Q.; Ren, W. 收藏  |  浏览/下载：3/0  |  提交时间：2017/12/03 Wetlands  Fuzzy credibility  Stochastic with recourse  Uncertainty  Non-point source  Geographic information systems  STOCHASTIC-PROGRAMMING APPROACH  RIVER-BASIN  FUZZY PARAMETERS  POINT SOURCES  MANAGEMENT  UNCERTAINTY  SYSTEM  RESTORATION  CHINA  LAND   Comparison of random number generators in Particle Swarm Optimization algorithm 其他 2014-01-01 Ding, Ke; Tan, Ying 收藏  |  浏览/下载：5/0  |  提交时间：2015/11/13 A simulation-based two-stage interval-stochastic programming model for water resources management in Kaidu-Konqi watershed, China 期刊论文 journal of arid land, 2012 Huang, Yue; Chen, Xi; Li, YongPing; Bao, AnMing; Ma, YongGang 收藏  |  浏览/下载：4/0  |  提交时间：2015/11/13 optimization  two-stage stochastic programming  uncertainty  water resources management  hydrological model  Kaidu-Konqi watershed  Tarim River Basin  HYDROLOGICAL MODEL  OPTIMIZATION MODEL  UNCERTAINTY  SYSTEM   Stability-Optimal Grouping Strategy of Peer-to-Peer Systems 期刊论文 ieee transactions on parallel and distributed systems, 2011 Li, Zhenhua; Wu, Jie; Xie, Junfeng; Zhang, Tieying; Chen, Guihai; Dai, Yafei 收藏  |  浏览/下载：2/0  |  提交时间：2015/11/12 Peer-to-peer  stability  scalability  grouping  homogeneity  optimization