G
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.
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Improved solubilities of PAHs by multi-component Gemini surfactant systems with different spacer lengths
TL;DR: In this article, a series of single cationic Gemini surfactants (alkanediyl-α,ω-bis, dodecyldimethylammonium bromide) as well as their equimolar bi and ternary combinations have been investigated.
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Violation analysis on two-step method for interval linear programming
Xiuquan Wang,Guohe Huang +1 more
TL;DR: An improved solution method (namely, ITSM) is proposed to avoid resulting violation by introducing extra constraints in the solving process and a numeric example is presented to demonstrate the effectiveness of ITSM in handling solution violation.
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Development of an expert system for tackling the public's perception to climate-change impacts on petroleum industry
TL;DR: The results indicated that the impacts of increased temperature and natural hazards would be very significant on most of the petroleum-related processes, and the petroleum industry would be quite sensitive to changed precipitation patterns.
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An interval-based regret-analysis method for identifying long-term municipal solid waste management policy under uncertainty.
TL;DR: The developed IBRA model incorporates approaches of interval-parameter programming (IPP) and minimax-regret (MMR) analysis within an integer programming framework, such that uncertainties expressed as both interval values and random variables can be reflected.
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Robust optimisation for inexact water quality management under uncertainty
TL;DR: Results of the case study indicate that useful solutions can be obtained to plan agricultural activities in the water quality management system and suggest that the proposed hybrid methodology is applicable to practical problems that are associated with highly complex and uncertain information.