Optimizing Ethanol Production in Escherichia Coli Using a Hybrid of Particle Swarm Optimization and Artificial Bee Colony

Author:

Dzulkalnine Mohamad Faiz1ORCID,Mohamad Mohd Saberi2ORCID,Choon Yee Wen3ORCID,Remli Muhammad Akmal3ORCID,Alashwal Hany4ORCID

Affiliation:

1. Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, Malaysia

2. Health Data Science Lab, Department of Genetics and Genomics, College of Medical and Health Sciences, United Arab Emirates University, UAE and Big Data Analytics Center, United Arab Emirates University, UAE

3. Institute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, Malaysia and Department of Data Science, Universiti Malaysia Kelantan, Malaysia

4. Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, UAE and Big Data Analytics Center, United Arab Emirates University, UAE

Publisher

ACM

Reference18 articles.

1. İçöz , E. , Tuğrul , K. M. , Saral , A. , & İçöz , E. : Research on ethanol production and use from sugar beet in Turkey. Biomass and bioenergy, 33(1), 1-7 ( 2009 ). İçöz, E., Tuğrul, K. M., Saral, A., & İçöz, E.: Research on ethanol production and use from sugar beet in Turkey. Biomass and bioenergy, 33(1), 1-7 (2009).

2. Engineering microbes to produce biofuels

3. Towards systems metabolic engineering of microorganisms for amino acid production

4. Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives

5. Particle swarm optimization

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