Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae


This article presents the data of recovered lipid from microalgae using fuzzy logic based-modelling and particle swarm optimization (PSO) algorithm. The details of fuzzy model and optimization process were discussed in our work entitled “Application of Fuzzy Modelling and Particle Swarm Optimization to Enhance Lipid Extraction from Microalgae” (Nassef et al., 2019) [1]. The presented data are divided into two main parts. The first part represents the percentage of recovered lipid using fuzzy logic model and ANOVA. However, the second part shows the variation of the cost function (recovered lipid) for the 100 runs of PSO algorithm during optimization process. These data sets can be used as references to analyze the data obtained by any other optimization technique. The data sets are provided in the supplementary materials in Tables 1–2.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > Energy and Bioproducts Research Institute (EBRI)
College of Engineering & Physical Sciences
Additional Information: © 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (
Uncontrolled Keywords: Fuzzy logic modeling,Lipid extraction,Microalgae,Particle swarm optimization,Renewable energy,General
Publication ISSN: 2352-3409
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 2867?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2020-02-01
Published Online Date: 2019-12-04
Accepted Date: 2019-11-27
Authors: Abdelkareem, Mohammad Ali
Rezk, Hegazy
Sayed, Enas T.
Alaswad, A. (ORCID Profile 0000-0002-7828-7924)
Nassef, Ahmed M.
Olabi, A. G.



Version: Published Version

License: Creative Commons Attribution

| Preview

Export / Share Citation


Additional statistics for this record