MOSAICmodeling enables a number of different advanced features based on the simulation of steady-state or dynamic system. Among these are the simultaneous and sequential optimization. A number of additional features, such as parameter estimation and chance-constrained optimization will be added subsequently.
Optimization inside MOSAICmodeling is currently limited to general Mixed-Integer NonLinear Programming (MINLP) problems:
Inequality constraints at the moment need to be manually reformulated as equality constraints by the introduction of slack variables :
Advanced Optimization Features
Follow the links below for detailed descriptions on how to use each feature.
- Simultaneous Optimization
- Sequential Optimization