Improving convergence in refinery-network optimization via a multi-period iterative algorithm
Abstract Refinery network optimization is a challenging Mixed-Integer Nonlinear Programming (MINLP) problem due to complex process interactions and non-linearities. This paper proposes a multi-period solution strategy that decomposes the original MINLP into a sequence of tractable sub-problems. First, all non-linear te...