遺伝的アルゴリズムによる発酵プロセスの最適軌道算出

概要

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A genetic algorithm(GA)was improved in terms of mutation and was applied to obtaining optimal trajectories which gave the solutions to three problems : (1)finding the optimal trajectory of the specific growth rate for the maximum production of glutathion(GSH)in yeast fed-batch culture at a given operation time; (2)the same as(1), but with the additional constraint that the concentration of GSH should be higher than a certain value; (3)finding the optimal temperature trajectory for isoamylacetate formation in batch sake brewing. Problems(1)and(2)have been already solved by the Maximum Principle(MP), and problem(3)by Dynamic Programing(DP). GA gave sufficiently practical solutions that correlated with the solutions obtained by MP and DP, and GA was shown to be useful for finding the optimal trajectory with a shorter calculation time.
社団法人日本生物工学会の論文
1993-05-25