Flux balance analysis (FBA) based bilevel optimization has been a great success in redesigning metabolic networks for biochemical overproduction. To date, many computational approaches have been developed to solve the resulting bilevel optimization problems. However, most of them are of limited use due to biased optimality principle, poor scalability with the size of metabolic networks, potential numeric issues or low quantity of design solutions in a single run.

中文翻译：

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NIHBA：用于代谢工程设计的网络拦截方法。

基于通量平衡分析（FBA）的双级优化在重新设计代谢网络以实现生化生产过剩方面取得了巨大的成功。迄今为止，已经开发了许多计算方法来解决由此产生的双层优化问题。但是，由于偏倚的最优性原则，代谢网络规模的可扩展性差，潜在的数值问题或单次运行中的设计解决方案数量少，大多数方法使用受限。