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Exact Hull Reformulation for Quadratically Constrained Generalized Disjunctive Programs
Sergey Gusev, David E. Bernal Neira
Generalized Disjunctive Programming (GDP) provides a natural framework for optimization models that combine logical decisions with nonlinear constraints. The Hull Reformulation (HR…
Logic-Based Discrete-Steepest Descent: A Solution Method for Process Synthesis Generalized Disjunctive Programs
Daniel Ovalle, David A. Liñán, Albert Lee +4
The optimization of chemical processes is challenging due to the nonlinearities arising from process physics and discrete design decisions. In particular, optimal synthesis and des…
Addressing Discrete Dynamic Optimization via a Logic-Based Discrete-Steepest Descent Algorithm
Zedong Peng, Albert Lee, David E. Bernal Neira
Dynamic optimization problems involving discrete decisions have several applications, yet lead to challenging optimization problems that must be addressed efficiently. Combining di…
A Convexification-based Outer-Approximation Method for Convex and Nonconvex MINLP
Zedong Peng, Kaiyu Cao, Kevin C. Furman +3
The advancement of domain reduction techniques has significantly enhanced the performance of solvers in mathematical programming. This paper delves into the impact of integrating c…