Multi-objective optimization studies of microalgae dewatering by utilizing bio-based alkali: a case study of response surface methodology (RSM) and genetic algorithm (GA) - Ajala, Sheriff Olalekan; Alexander, Matthew L. (SN applied sciences, 2020)
Keywords: Algae; Algorithms; Applied and Technical Physics; Aquatic microorganisms; Artificial neural networks; Ashes; Biodiesel fuels; Biofuels; Biomass; Calcium ions; Chemistry/Food Science; Cocoa; Composite materials; Design of experiments; Design optimization; Dewatering; Earth Sciences; Efficiency; Energy consumption; Engineering; Engineering: Bio-Inspired Optimization Algorithms; Environment; Flocculants; Flocculation; Genetic algorithms; Harvest; Materials Science; Microalgae; Multiple objective analysis; Neural networks; Optimization; Optimization techniques; Research Article; Response surface methodology; X-rays; United States--US; Alkaline flocculation; Multi-objective optimization; Bio-based alkali; Response surface methodology; Artificial neural network; Genetic algorithm