A multi-objective micro-scale optimization strategy for fermentation processes was proposed to achieve optimal operation on the basis of a dynamic metabolic flux analysis(DMFA) model. According to different dynamic characteristics, the strategy divided a fermentation process into two stages of cell growth and product synthesis,in which objective functions and constraints were designed from micro metabolic flux and pathways. Multi-objective particle swarm optimization(MOPSO) was employed as key algorithm to ...
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