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Guohe Huang

Researcher at Applied Science Private University

Publications -  1071
Citations -  30520

Guohe Huang is an academic researcher from Applied Science Private University. The author has contributed to research in topics: Stochastic programming & Fuzzy logic. The author has an hindex of 72, co-authored 979 publications receiving 25589 citations. Previous affiliations of Guohe Huang include Peking University & Beijing Normal University.

Papers
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IFQP: A hybrid optimization method for filter management in fluid power systems under uncertainty

S. L. Nie, +4 more
- 01 Jan 2010 - 
TL;DR: In this paper, an interval-fuzzy quadratic programming (IFQP) method is developed for the assessment of filter allocation and replacement strategies in fluid power systems (FPS) under uncertainty.
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An Interval Fuzzy-Stochastic Chance-Constrained Programming Based Energy-Water Nexus Model for Planning Electric Power Systems

J. Liu, +4 more
- 20 Nov 2017 - 
TL;DR: In this paper, an interval fuzzy-stochastic chance-constrained programming based energy-water nexus (IFSCP-WEN) model is developed for planning electric power system (EPS).
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Development of a Fuzzy-Boundary Interval Programming Method for Water Quality Management Under Uncertainty

J. Liu, +3 more
- 01 Mar 2015 - 
TL;DR: Wang et al. as discussed by the authors developed a fuzzy-boundary interval programming (FBIP) method for tackling dual uncertainties expressed as crisp intervals and fuzzy-branching intervals, which is applied to planning water quality management of Xiangxi River in the Three Gorges Reservoir Region, China.
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IPCS: An integrated process control system for enhanced in-situ bioremediation

Yong Huang, +5 more
- 01 Feb 2008 - 
TL;DR: A framework to develop an integrated process control system for improving remediation efficiencies and reducing operating costs was proposed based on physical and numerical models, stepwise cluster analysis, non-linear optimization and artificial neural networks.
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Inexact fuzzy-stochastic quadratic programming approach for waste management under multiple uncertainties

Ping Guo, +1 more
- 01 May 2011 - 
TL;DR: In this paper, an inexact fuzzy-stochastic quadratic programming (IFSQP) method is developed for effectively allocating waste to available facilities, where the objective is to minimize the total expected system cost by achieving optimal waste flow allocation over the entire planning horizon.