A mixed-integer two-stage interval stochastic programming model for regional air quality management

This paper proposes a hybrid mixed-integer two-stage interval stochastic (MITIS) programming Model for regional air quality management planning. This proposed model is a combination of the existing two-stage stochastic programming, mixed integer programming and interval programming methods. The parameters in the MITIS model can be expressed as probability density functions (PDFs) and discrete interval parameters. The model is designed to take …