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在“
自然资源管理
”中,
命中:
261
条,耗时:小于0.01 秒
1.
Multi
-
objective
operation
optimization
and evaluation of large-scale NG distributed energy system driven by gas-steam combined cycle in China
作者:
Zhong-fu Tana
;
tanzhongfubeijing@126.com" class="auth_mail
;
Hui-juan Zhanga
;
Quan-sheng Shib
;
Yi-hang Songa
;
Li-wei Jua
关键词:
Distributed energy resources
;
Multi
-
objective
optimization
;
Gas-steam combined cycle
;
Operation strategies
刊名:Energy and Buildings
年:41791
2.
A dimensionality reduction approach for many-
objective
Markov Decision Processes: Application to a water reservoir operation problem
作者:
M. Giuliania
;
matteo.giuliani@polimi.it" class="auth_mail
;
S. Galellib
;
R. Soncini-Sessaa
关键词:
Many-
objective
optimization
;
Markov Decision Processes
;
Non-negative Principal Component Analysis
;
Visual analytics
;
Water resources management
刊名:Environmental Modelling and Software
年:41821
3.
Multi
-
objective
optimization
for resource network synthesis in eco-industrial parks using an integrated analytic hierarchy process
作者:
Yik Teeng Leonga
;
b
;
Jui-Yuan Leec
;
Raymond R. Tand
;
Ji Jinn Foob
;
Irene Mei Leng Chewb
;
irene.chew@monash.edu
关键词:
Process integration
;
Industrial symbiosis
;
Multi
-
objective
optimization
;
Integrated analytic hierarchy process
;
Decision making
;
Sustainable development
刊名:Journal of Cleaner Production
年:2017
4.
Uncertainty-Based
Multi
-
Objective
Decision Making with Hierarchical Reliability Analysis Under Water Resources and Environmental Constraints
作者:
Feifei Dong
;
Yong Liu
;
Han Su
;
Zhongyao Liang
;
Rui Zou…
关键词:
Water resources allocation
;
Stochastic programming
;
Tradeoff analysis
;
Multi
;
criteria decision analysis
;
Multi
;
objective
evolutionary algorithm
;
Optimization
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
5.
A
multi
-
objective
genetic type-2 fuzzy logic based system for mobile field workforce area
optimization
作者:
Andrew Starkeya
;
astark@essex.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Hani Hagrasa
;
Sid Shakyab
;
Gilbert Owusub
关键词:
Fuzzy logic
;
Genetic algorithms
;
Multi
-
objective
;
Workforce
optimization
刊名:Information Sciences
年:2016
6.
Water Quality Based
Multi
-
objective
Optimal Design of Water Distribution Systems
作者:
Meisam Shokoohi
;
Massoud Tabesh
;
Sara Nazif
;
Mehdi Dini
关键词:
Multi
;
objective
Optimization
;
Water Distribution Systems
;
Water Quality Reliability
;
Head
;
Driven
;
Simulation
;
Method
;
Chlorine residual Penalty Curve
;
Water age Penalty Curve
刊名:Water Resources Management
出版者:Springer Netherlands
年:2017
7.
A
multi
-stage Smart Energy Management System under
multi
ple uncertainties: A data mining approach
作者:
M. Parvizimosaed
;
F. Farmani
;
H. Monsef
;
hmonsef@ut.ac.ir" class="auth_mail" title="E-mail the corresponding author
;
A. Rahimi-Kian
关键词:
Multi
-stage energy management
;
Data mining algorithm
;
Multi
-
objective
optimization
;
Offline and online decision making
刊名:Renewable Energy
年:2017
8.
Multi
ple
objective
s Pinch Analysis
作者:
G.S. Krishna Priya
;
Santanu Bandyopadhyay
;
santanu@me.iitb.ac.in
关键词:
Multi
ple
objective
s Pinch Analysis
;
Multi
ple resources
;
Multi
ple
objective
s prioritized cost
;
Water Pinch
;
Hydrogen Pinch
;
Carbon Pinch
;
Indian power sector
刊名:Resources, Conservation and Recycling
年:2017
9.
Multi
-
objective
Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: Uncertainty and Sensitivity Analysis
作者:
Huan-Feng Duan
;
Fei Li
;
Tao Tao
关键词:
Detention tank
;
Monte
;
Carlo simulation (MCS)
;
Multi
;
objective
optimization
(MOO)
;
Uncertainty analysis
;
Urban stormwater drainage system (USDS)
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
10.
Water quality management in a wetland system using an inexact left-hand-side chance-constrained fuzzy
multi
-
objective
approach
作者:
Yao Ji
;
Guohe Huang
;
Wei Sun
;
Yanfeng Li
关键词:
Inexact chance
;
constrained programming
;
Multi
;
objective
programming
;
Water quality
;
Wetland
;
Uncertainty
刊名:Stochastic Environmental Research and Risk Assessment (SERRA)
出版者:Springer Berlin / Heidelberg
年:2016
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