This work investigates in detail several methodologies to improve the optimal control of discontinuous processes. It shows that whenever a batch dynamic optimization is solved, the optimum is related to the control methodology adopted and the result is a sub-optimum since other more (or apparently less!) appealing control methodologies might lead to “better” optimal solutions. The selection of the best control methodology for the dynamic optimization is broached for batch reactors using gPROMS models builder 3.5.2 for dynamic modeling and BzzMath 6.0 optimizers to handle control and optimization issues.