Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis | IGI Global Scientific Publishing
Welcome to the InfoSci Platform
Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis

Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis

Wan Ting Leong, Mohd Saberi Mohamad, Kohbalan Moorthy, Yee Wen Choon, Hasyiya Karimah Adli, Khairul Nizar Syazwan W. S. W., Loo Keat Wei, Nazar Zaki
Copyright: © 2022 |Volume: 13 |Issue: 1 |Pages: 13
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781683181514|DOI: 10.4018/IJSIR.299845
Cite Article Cite Article

MLA

Leong, Wan Ting, et al. "Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis." IJSIR vol.13, no.1 2022: pp.1-13. https://doi.org/10.4018/IJSIR.299845

APA

Leong, W. T., Mohamad, M. S., Moorthy, K., Choon, Y. W., Adli, H. K., Khairul Nizar Syazwan W. S. W., Wei, L. K., & Zaki, N. (2022). Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis. International Journal of Swarm Intelligence Research (IJSIR), 13(1), 1-13. https://doi.org/10.4018/IJSIR.299845

Chicago

Leong, Wan Ting, et al. "Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis," International Journal of Swarm Intelligence Research (IJSIR) 13, no.1: 1-13. https://doi.org/10.4018/IJSIR.299845

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Many high-demand industrial products are generated by microorganisms, including fuels, food, vitamins, and other chemicals. Metabolic engineering is the method of circumventing cellular control to manufacture a desirable product or to create a new product that the host cells do not normally need to produce. One of the objectives of microorganism metabolic engineering is to maximise the production of a desired product. However, owing to the structure of the regulatory cellular and metabolic network, identifying specific genes to be knocked out is difficult. The development of optimization algorithms often confronts issues such as easily trapping in local maxima and handling multivariate and multimodal functions inefficiently. To predict the gene knockout list that can generate high yields of desired product, a hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis (FADFBA) is proposed. This paper focuses on the ethanol production of Escherichia coli (E. coli). The findings of the experiments include gene lists, ethanol production, growth rate, and the performance of FADFBA.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global Scientific Publishing bookstore.