A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules
作者： P. Angelov , R. Guthke
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摘要: A new approach to optimization of bioprocesses described by fuzzy rules is introduced in the paper. It based on genetic algorithms (GA) and allows determine optimal values or profiles control variables optimize (parameters membership functions). The process can be linguistic rules. An algorithm related software was developed. applied an industrial antibiotic fermentation. profile a physical variable preculture determined which leads increasing output product concentration main culture about 5%.
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