An inexact two-stage mixed integer linear programming model for waste management under uncertainty

By Imran Maqsood, G. H. Huang, G. Zeng. 2004

47 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/37ae9225a0e06d7f1d48e20bd035a5cee5f95f59

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. Ping Guo
2. Guohe Huang
3. Li He

In Ocean Engineering

1. Ping Guo
2. Guohe Huang
3. Li He

In Water Science and Technology

1. Ping Guo
2. Guohe Huang
3. 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 et”