A Hybrid Genetic Programming–Gray Wolf Optimizer Approach for Process Optimization of Biodiesel Production
Abstract
:1. Introduction
2. Methodology
2.1. Genetic Programming
2.2. Gray Wolf Optimizer
3. Results and Discussion
3.1. Development of Genetic Programming Metamodel
3.2. Optimization Using Gray Wolf Optimizer
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Kumar, V.; Kalita, K.; Madhu, S.; Ragavendran, U.; Gao, X.-Z. A Hybrid Genetic Programming–Gray Wolf Optimizer Approach for Process Optimization of Biodiesel Production. Processes 2021, 9, 442. https://doi.org/10.3390/pr9030442
Kumar V, Kalita K, Madhu S, Ragavendran U, Gao X-Z. A Hybrid Genetic Programming–Gray Wolf Optimizer Approach for Process Optimization of Biodiesel Production. Processes. 2021; 9(3):442. https://doi.org/10.3390/pr9030442
Chicago/Turabian StyleKumar, Vikas, Kanak Kalita, S Madhu, Uvaraja Ragavendran, and Xiao-Zhi Gao. 2021. "A Hybrid Genetic Programming–Gray Wolf Optimizer Approach for Process Optimization of Biodiesel Production" Processes 9, no. 3: 442. https://doi.org/10.3390/pr9030442