Metaheuristic Algorithms to Optimal Parameters Estimation of a Model of Two-Stage Anaerobic Digestion of Corn Steep Liquor

Anaerobic Digestion (AD) of wastewater for hydrogen production is a promising technology resulting in the generation value-added products and reduction organic load wastewater. The Two-Stage (TSAD) has several advantages over conventional single-stage process due to ability control acidification phase first bioreactor, preventing overloading and/or inhibition methanogenic population second bioreactor. To carry out any research optimization, adequate mathematical models are required. best our knowledge, no TSAD have been published literature so far. Therefore, authors’ motivation present high-quality model corn steeping sequential H2 CH4 considered this paper. Four metaheuristics, namely Genetic Algorithm (GA), Firefly (FA), Cuckoo Search (CS), Coyote Optimization (COA), adapted implemented time parameter identification new nonlinear steep liquor proposed here. superiority some algorithms confirmed by comparison observed numerical results, graphical statistical analysis. simulation results show that four metaheuristics achieved similar modelling dynamics In case better description trend obtained FA, although GA acquired lowest value objective function.