NIHBA: A Network Interdiction Approach with Hybrid Benders Algorithm for Strain Design

Shouyong Jiang, Yong Wang, Marcus Kaiser, Natalio Krasnogor

Research output: Working paperPreprint


Flux balance analysis (FBA) based bilevel optimisation 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 optimisation 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. In this work, we have employed a network interdiction model free of growth optimality assumptions, a special case of bilevel optimisation, for computational strain design and have developed a hybrid Benders algorithm (HBA) that deals with complicating binary variables in the model, thereby achieving high efficiency without numeric issues in search of best design strategies. More importantly, HBA can list solutions that meet users’ production requirements during the search, making it possible to obtain numerous design strategies at a small runtime overhead (typically ∼ 1 hour).
Original languageEnglish
Publication statusPublished - 4 Sept 2019

Bibliographical note

Authors retain copyright and choose from several distribution/reuse options under which to make the article available (CC BY, CC BY-NC, CC BY-ND, CC BY-NC-ND, CC0, or no reuse).


  • bioengineering


Dive into the research topics of 'NIHBA: A Network Interdiction Approach with Hybrid Benders Algorithm for Strain Design'. Together they form a unique fingerprint.

Cite this