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

Mohammad Ali Abdelkareem; Hegazy Rezk; Enas T. Sayed; A. Alaswad; Ahmed M. Nassef; A. G. Olabi

doi:10.1016/j.dib.2019.104931

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

Mohammad Ali Abdelkareem^*
, Hegazy Rezk
, Enas T. Sayed
, A. Alaswad
, Ahmed M. Nassef
, A. G. Olabi

^*Corresponding author for this work

University of Sharjah
Minia University
Prince Sattam Bin Abdulaziz University
Tanta University
Aston University

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

43 Downloads (Pure)

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.

Original language	English
Article number	104931
Journal	Data in Brief
Volume	28
Early online date	4 Dec 2019
DOIs	https://doi.org/10.1016/j.dib.2019.104931
Publication status	Published - 1 Feb 2020

Bibliographical note

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Fuzzy logic modeling
Lipid extraction
Microalgae
Particle swarm optimization
Renewable energy

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10.1016/j.dib.2019.104931Licence: CC BY 3.0

Data on fuzzy logic based-modelling
© 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Final published version, 194 KBLicence: CC BY 3.0

Cite this

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title = "Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae",

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.",

keywords = "Fuzzy logic modeling, Lipid extraction, Microalgae, Particle swarm optimization, Renewable energy",

author = "Abdelkareem, \{Mohammad Ali\} and Hegazy Rezk and Sayed, \{Enas T.\} and A. Alaswad and Nassef, \{Ahmed M.\} and Olabi, \{A. G.\}",

note = "{\textcopyright} 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).",

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T1 - Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae

AU - Abdelkareem, Mohammad Ali

AU - Rezk, Hegazy

AU - Sayed, Enas T.

AU - Alaswad, A.

AU - Nassef, Ahmed M.

AU - Olabi, A. G.

PY - 2020/2/1

Y1 - 2020/2/1

N2 - 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.

AB - 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.

KW - Fuzzy logic modeling

KW - Lipid extraction

KW - Microalgae

KW - Particle swarm optimization

KW - Renewable energy

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UR - https://www.sciencedirect.com/science/article/pii/S2352340919312867?via%3Dihub

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JO - Data in Brief

JF - Data in Brief

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

Abstract

Bibliographical note

UN SDGs

Keywords

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