Optimization of cerbera manghas biodiesel production using artificial neural networks integrated with ant colony optimization

• Main Authors: Silitonga, A.S., Mahlia, T.M.I., Shamsuddin, A.H., Ong, H.C., Milano, J., Kusumo, F., Sebayang, A.H., Dharma, S., Ibrahim, H., Husin, H., Mofijur, M., Rahman, S.M.A.
• Format: Article
• Published: MDPI AG 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074968976&doi=10.3390%2fen12203811&partnerID=40&md5=a8e209ed2b83c6eef77e8d38bf0fc843; http://eprints.utp.edu.my/24882/

Optimizing the process parameters of biodiesel production is the key to maximizing biodiesel yields. In this study, artificial neural network models integrated with ant colony optimization were developed to optimize the parameters of the two-step Cerbera manghas biodiesel production process: (1) est...