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

9Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

Abdelkareem, M. A., Rezk, H., Sayed, E. T., Alaswad, A., Nassef, A. M., & Olabi, A. G. (2020). Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae. Data in Brief, 28. https://doi.org/10.1016/j.dib.2019.104931

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free