Skiborowski, MirkoMirkoSkiborowskiRautenberg, MarcelMarcelRautenbergMarquardt, WolfgangWolfgangMarquardt2020-12-142020-12-142013-06Computer Aided Chemical Engineering 32: 961-966 (2013)978-0-444-63234-0http://hdl.handle.net/11420/8247Optimization-based process design can be accomplished by the formulation of superstructures and the use of metaheuristics as well as deterministic optimization. This paper proposes a novel hybrid optimization approach, which combines an evolutionary algorithm (EA) and a sophisticated deterministic optimization strategy. In contrast to related approaches, the EA provides an initial superstructure, which results in a MINLP and is solved by a local deterministic algorithm. This combination facilitates an extensive inspection of the search space, while the sophisticated deterministic optimization leads to a reduction in the number of individuals that need to be evaluated within the evolutionary approach. The application of the novel hybrid optimization approach is illustrated by a case study, i.e., the separation of an ethanol/water mixture by means of an entrainer-enhanced pressure swing distillation process.enEvolutionary algorithmHybrid optimizationMINLPProcess designTechnology::600: TechnologyConference Paper10.1016/B978-0-444-63234-0.50161-5Conference Paper