Abstract-This paper presents a genetic algorithms approach for the optimization of a fed-batch penicillin fermentation process. A customized float-encoding genetic algorithm is developed and implemented to a benchmark fed-batch penicillin fermentation process. Off-line optimization of the initial conditions and set points are carried out in two stages for a single variable and multiple variables. Further investigations with online optimization have been carried out to demonstrate that the yield can be significantly improved with an optimal feed rate profile. The results have shown that the proposed approaches can be successfully applied to optimization problems of fed-batch fermentation to improve the operation of such processes.
The robust stability margin of fuzzy-coefficient polynomials is determined. Since the membership level of a fuzzy number is expressed by a functional interval, the method applied to analyze the robust stability of interval polynomials can be applied to solve this problem. A new method for computing the robust stability margin of fuzzy polynomials with a convenient graphic interpretation is developed on the basis of the Tsypkin-Polyak robust stability criterion and D-decomposition of interval polynomials. It can also be used to find the degree to which the membership level of every coefficient can be varied without violating the stability of a system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.