원문정보
Optimization of Fed-Batch Yeast Culture by Using Genetic Algorithm
초록
영어
The optimization of fed-batch yeast fermentation process has been performed using genetic algorithm(GA). Three strategies were designed and applied to obtain the optimal feed rate profiles. Genes in the chromosome (input variables for optimization) included feed rates on fixed time intervals (strategy I), or swiching times t,1, and t,2 feed rates on singular arc (strategy II), or feed rates and the length of time interval (strategy III). Strategy III showed the best results for all initial conditions due to efficient utilization of genetic information. Simulation results using GA showed similar or better performance compared with previous results by variational caculus and singular control approach.
목차
이론
Problem Formulation
Genetic Algorithm
Genetic Algorithm을 이용한 유가식 배양 최적화
결과 및 고찰
여러 초기조건에 대한 전산모사
각 전략의 비교
유전알고리즘과 singular control approach의 비교
요약
사용기호
참고문헌