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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.

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A linearization and parameterization approach to tri-objective linear programming problems for power generation expansion planning

TL;DR: In this paper, the authors proposed a new solution to a tri-objective linear programming problem for generation expansion planning by converting the triobjective LFP problem into an equivalent bi-objectively linear fractional programming problem (i.e. simultaneously maximizing the ratio of the total power generation to the total system cost, and the ratio between the power generation and the total CO2 emission).
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Inexact Optimization Model for Supporting Waste-Load Allocation in the Xiangxi River Basin of the Three Gorges Reservoir Region, China

TL;DR: In this article, a large-scale inexact two-stage wasteload allocation (ITS-WLA) model is developed to identify desired decision alternatives for supporting economic development and water quality management.
Journal Article

A Two-Stage Fuzzy Chance-Constrained Model for Solid Waste Allocation Planning

TL;DR: In this article, a two-stage double-sided fuzzy version of the chance-constrained mixed-integer programming (TDFCCMP) model was developed for supporting municipal solid waste management under multiple uncertainties.
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Fuzzy two-stage non-point source pollution management model for agricultural systems—A case study for the Lake Tai Basin, China

TL;DR: In this article, an interval fuzzy two-stage stochastic non-point source pollution mitigation (IFTNS) model was developed for agricultural systems management under uncertainty through land retirement and nutrients discharge trading programs.
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An inexact fixed-mix fuzzy-stochastic programming model for heat supply management in wind power heating system under uncertainty

TL;DR: In this article, an inexact fixed-mix fuzzy-stochastic programming (IFFSP) method was developed and applied to the heat supply management of an actual wind power heating system under uncertainties presented as interval values, random variables and fuzzy sets within a multi-stage context.