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Global Solution of Mixed-Integer Dynamic Optimization Problems

This paper presents a decomposition approach for a quite general class of mixed- integer dynamic optimization problems that is capable of guaranteeing the global solution despite the nonconvexities inherent to the dynamic optimization subproblems. A case study is presented in connection to the optimal design and operation of a batch process consisting of a series reaction followed by a separation with no intermediate storage. The developed algorithms demonstrate efficiency and applicability in solving this problem.


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