An interval-parameter two-stage stochastic integer programming model for environmental systems planning under uncertainty

By Y. P. Li, Guohe Huang, S. Nie, X. Nie, Imran Maqsood. 2006

62 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/3be09ebb7662f0b576a438d1cebb6516ff7dd751

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Guohe Huang
2. Ping Guo
3. Y. P. Li
4. Yuefei Huang
5. S. Nie
6. Li He

In Ocean Engineering

1. Guohe Huang
2. Ping Guo
3. Y. P. Li
4. Yuefei Huang
5. S. Nie
6. Li He

In Water Science and Technology

1. Guohe Huang
2. Y. P. Li
3. Ping Guo
4. Yuefei Huang
5. S. Nie
6. Li He

Citations in the corpus

• ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty (2008, methodology): “More recently, stochastic programming methods were incorporated into the IMILP framework to address the random and interval information in MSW management problems (Huang et al. 2001; Maqsood and Huang 2003; Maqsood et al. 2004; Li et al. 2006a, b, c; Li and Huang 2006a, b). For instance, Maqsood e”
• IFTSIP: interval fuzzy two-stage stochastic mixed-integer linear programming: a case study for environmental management and planning (2006, methodology): “Although the study case is a hypothetical problem, it is based on representative data from the MSW management literature (Baetz 1990; Huang et al. 1993, 2001; Maqsood and Huang 2003; Li et al. 2006).”