This chapter documents how to formulate mathematical programs with equilibrium constraints (MPECs), which naturally arise in a wide range of engineering and economic systems. We describe Pyomo components for complementarity conditions, and transformation capabilities that automate the reformulation of MPEC models, and meta-solvers that leverage these transformations to support global and local optimization of MPEC models.
CITATION STYLE
Hart, W. E., Laird, C. D., Watson, J. P., Woodruff, D. L., Hackebeil, G. A., Nicholson, B. L., & Siirola, J. D. (2017). Mathematical programs with equilibrium constraints. In Springer Optimization and Its Applications (Vol. 67, pp. 211–222). Springer International Publishing. https://doi.org/10.1007/978-3-319-58821-6_12
Mendeley helps you to discover research relevant for your work.