Generalized disjunctive programming

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Abstract

This chapter documents how to express and solve Generalized Disjunctive Programs (GDPs). GDP models provide a structured approach for describing logical relationships in optimization models.We show how Pyomo blocks provide a natural base for representing disjuncts and forming disjunctions, and we how to solve GDP models through the use of automated problem transformations.

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Hart, W. E., Laird, C. D., Watson, J. P., Woodruff, D. L., Hackebeil, G. A., Nicholson, B. L., & Siirola, J. D. (2017). Generalized disjunctive programming. In Springer Optimization and Its Applications (Vol. 67, pp. 157–164). Springer International Publishing. https://doi.org/10.1007/978-3-319-58821-6_9

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