Optimization of fed-batch fermentation processes with bio-inspired algorithms
作者：
Highlights：
• We optimize feeding trajectories in fed-batch fermentation processes.
• We use several case studies from the literature.
• We compare algorithms using statistical validation of the results.
• We conclude that Differential Evolution is the best overall.
• We provide a computational application to allow users to apply the proposed methods.
摘要
•We optimize feeding trajectories in fed-batch fermentation processes.•We use several case studies from the literature.•We compare algorithms using statistical validation of the results.•We conclude that Differential Evolution is the best overall.•We provide a computational application to allow users to apply the proposed methods.
论文关键词：Fed-batch fermentation,Differential Evolution,Evolutionary algorithms,Particle Swarm Optimization,Feeding trajectory optimization
论文评审过程：Available online 26 September 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.09.017
