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科研机构
大连理工大学 [5]
兰州理工大学 [1]
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期刊论文 [6]
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2018 [3]
2017 [2]
2016 [1]
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Optimization of hydropower reservoirs operation balancing generation benefit and ecological requirement with parallel multi-objective genetic algorithm
期刊论文
ENERGY, 2018, 卷号: 153, 页码: 706-718
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Cheng, Chun-tian
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Hydropower system operation
Multi-objective optimization
Genetic algorithm
Parallel computing
Constraint handling method
Fork/join framework
A modular parallelization framework for power flow transfer analysis of large-scale power systems
期刊论文
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2018, 卷号: 6, 页码: 679-690
作者:
Cheng, Chuntian
;
Luo, Bin
;
Shen, Jianjian
;
Liao, Shengli
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Power flow transfer
Modular
Parallelization
Fork/Join framework
PSD-BPA
Peak operation of hydropower system with parallel technique and progressive optimality algorithm
期刊论文
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 卷号: 94, 页码: 267-275
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Cheng, Chun-tian
;
Wu, Xin-yu
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  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Hydropower reservoirs
Peak operation
Progressive optimality algorithm
Fork/Join framework
Parallel computing
Curse of dimensionality
Multi-Core Parallel Particle Swarm Optimization for the Operation of Inter-Basin Water Transfer-Supply Systems
期刊论文
WATER RESOURCES MANAGEMENT, 2017, 卷号: 31, 页码: 27-41
作者:
Peng, Yong
;
Peng, Anbang
;
Zhang, Xiaoli
;
Zhou, Huicheng
;
Zhang, Lin
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
Inter-basin water transfer-supply systems
Multi-core
Parallel particle swarm optimization
Joint operation model
Fork/join framework
Scheduling of short-term hydrothermal energy system by parallel multi-objective differential evolution
期刊论文
APPLIED SOFT COMPUTING, 2017, 卷号: 61, 页码: 58-71
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Zhou, Jian-zhong
;
Cheng, Chun-tian
;
Zhang, Yong-chuan
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/03
Hydrothermal scheduling
Multi-objective differential evolution
Parallel computing
Fork/Join framework
Constraint handling method
An optimized model for mapreduce based on Hadoop
期刊论文
Telkomnika (Telecommunication Computing Electronics and Control), 2016, 卷号: 14, 期号: 4, 页码: 1552-1558
作者:
Zhang, Hong
;
Wang, Xiao-Ming
;
Cao, Jie
;
Ma, Yan-Hong
;
Guo, Yi-Rong
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  |  
浏览/下载:21/0
  |  
提交时间:2020/11/14
Data handling
Dynamical systems
Memory architecture
Parallel architectures
Distributed
Fork/Join
Hadoop
Map-reduce
Parallel
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