Guohe Huang

TL;DR: In this article, a superiority-inferiority full-infinite mixed-integer programming (SFMP) method is developed for analyzing the effect of energy conversion efficiency under uncertainty.

TL;DR: An interval fuzzy two-stage chance-constrained linear programming (IFTCP) method is developed for planning petroleum waste management systems that improves upon the existing optimization methods by allowing uncertainties presented in terms of intervals, fuzzy sets, and probability distributions to be effectively incorporated within the optimization framework.

TL;DR: Not only can they help identify optimal filter allocation and replacement strategies to control the contamination of FPSs, but also they can provide decision makers more information regarding trade-offs among system cost, certainty and safety in comparison with the INP model.

TL;DR: In this article , a copula-based stochastic multi-level programming (CSMP) approach is first developed, where the conflicting objectives with multiple hierarchical levels and the uncertainty presented as random variables with different probability distributions can be tackled.

TL;DR: In this article, an interval dual stochastic-mixed integer programming (IDSIP) approach is proposed for regional air quality management, which is formulated through integrating interval-parameter integer programming within a two-stage TSP joint chance-constrained programming (CCP).