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Multi-objective optimization of a solid oxide fuel cell (SOFC) reactor for oxidative coupling of methane has been studied with the elitist non-dominated sorting genetic algorithm with jumping genes (NSGA-II-aJG). A parametric sensitivity analysis was carried out on the experimentally verified model to systematically investigate the effects of the process parameters on the performance of the SOFC reactor...
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