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International Journal of Green Energy Volume 13, 2016 - Issue 15
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Original Articles

Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

Min-Yuan ChengDepartment of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
,
Doddy PrayogoDepartment of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan;Department of Civil Engineering, Petra Christian University, Surabaya, IndonesiaCorrespondence[email protected]
,
Yi-Hsu JuDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
,
Yu-Wei WuDepartment of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
&
Sylviana SutantoDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Pages 1599-1607 | Published online: 14 Jul 2016

Citations (20)

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Read on this site (1)

Min-Yuan Cheng, Yung-Fang Chiu, Chien-Kuo Chiu, Doddy Prayogo, Yu-Wei Wu, Zih-Long Hsu & Cheng-Hsuan Lin. (2019) Risk-based maintenance strategy for deteriorating bridges using a hybrid computational intelligence technique: a case study. Structure and Infrastructure Engineering 15:3, pages 334-350.
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Articles from other publishers (19)

Pragati Agrawal, Gnanaprakash R. & Sumit H. Dhawane. (2024) Prediction of Biodiesel Yield Employing Machine Learning: Interpretability Analysis via Shapley Additive Explanations. Fuel 359, pages 130516.
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Sagar D. Shelare, Pramod N. Belkhode, Keval Chandrakant Nikam, Laxmikant D. Jathar, Kiran Shahapurkar, Manzoore Elahi M. Soudagar, Ibham Veza, T.M. Yunus Khan, M.A. Kalam, Abdul-Sattar Nizami & Mohammad Rehan. (2023) Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production. Energy 282, pages 128874.
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Abhirup Khanna, Bhawna Yadav Lamba, Sapna Jain, Vadim Bolshev, Dmitry Budnikov, Vladimir Panchenko & Alexandr Smirnov. (2023) Biodiesel Production from Jatropha: A Computational Approach by Means of Artificial Intelligence and Genetic Algorithm. Sustainability 15:12, pages 9785.
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Junaid Ahmad, Muhammad Awais, Umer Rashid, Chawalit Ngamcharussrivichai, Salman Raza Naqvi & Imtiaz Ali. (2023) A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques. Fuel 338, pages 127379.
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Omojola Awogbemi & Daramy Vandi Von Kallon. (2023) Application of machine learning technologies in biodiesel production process—A review. Frontiers in Energy Research 11.
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Christos Kyriklidis, Marios-Errikos Kyriklidis, Efstratios Loizou, Adam Stimoniaris & Constantinos G. Tsanaktsidis. (2022) Optimal Bio Marine Fuel production evolutionary Computation: Genetic algorithm approach for raw materials mixtures. Fuel 323, pages 124232.
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Iftikhar Ahmad, Adil Sana, Manabu Kano, Izzat Iqbal Cheema, Brenno C. Menezes, Junaid Shahzad, Zahid Ullah, Muzammil Khan & Asad Habib. (2021) Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions. Energies 14:16, pages 5072.
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Yuanzhi Xing, Zile Zheng, Yike Sun & Masoome Agha Alikhani. (2021) A Review on Machine Learning Application in Biodiesel Production Studies. International Journal of Chemical Engineering 2021, pages 1-12.
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Mortaza Aghbashlo, Wanxi Peng, Meisam Tabatabaei, Soteris A. Kalogirou, Salman Soltanian, Homa Hosseinzadeh-Bandbafha, Omid Mahian & Su Shiung Lam. (2021) Machine learning technology in biodiesel research: A review. Progress in Energy and Combustion Science 85, pages 100904.
Crossref
Pavlo Kostetskyy & Linda J. Broadbelt. (2020) Progress in Modeling of Biomass Fast Pyrolysis: A Review. Energy & Fuels 34:12, pages 15195-15216.
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D Prayogo, D I Santoso, D Wijaya, T Gunawan & J A Widjaja. (2020) Prediction of Concrete Properties Using Ensemble Machine Learning Methods. Journal of Physics: Conference Series 1625, pages 012024.
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H N Muliauwan, D Prayogo, G Gaby & K Harsono. (2020) Prediction of Concrete Compressive Strength Using Artificial Intelligence Methods. Journal of Physics: Conference Series 1625:1, pages 012018.
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Shengyang Gao, Fashe Li, Qingtai Xiao, Jianxin Xu, Huage Wang & Hua Wang. (2019) Experimental Demonstration of Deterministic Chaos in a Waste Oil Biodiesel Semi-Industrial Furnace Combustion System. Energies 12:23, pages 4479.
Crossref
Min-Yuan Cheng, Doddy Prayogo & Yu-Wei Wu. (2018) Prediction of permanent deformation in asphalt pavements using a novel symbiotic organisms search–least squares support vector regression. Neural Computing and Applications 31:10, pages 6261-6273.
Crossref
Iftikhar Ahmad, Ahsan Ayub, Uzair Ibrahim, Mansoor Khattak & Manabu Kano. (2018) Data-Based Sensing and Stochastic Analysis of Biodiesel Production Process. Energies 12:1, pages 63.
Crossref
Doddy Prayogo & Yudas Tadeus Teddy Susanto. (2018) Optimizing the Prediction Accuracy of Friction Capacity of Driven Piles in Cohesive Soil Using a Novel Self-Tuning Least Squares Support Vector Machine. Advances in Civil Engineering 2018, pages 1-9.
Crossref
Doddy Prayogo, Foek Tjong Wong & Steven Sugianto. (2017) Enhanced symbiotic organisms search (ESOS) for global numerical optimization. Enhanced symbiotic organisms search (ESOS) for global numerical optimization.
Doddy Prayogo & Min-Yuan Cheng. (2017) Symbiotic organisms search with the feasibility-based rules for constrained engineering design optimization. Symbiotic organisms search with the feasibility-based rules for constrained engineering design optimization.
Christos Kyriklidis, Marios-Errikos Kyriklidis, Efstratios Loizou, Adam Stimoniaris & Constantinos G. Tsanaktsidis. (2022) Optimal Bio Marine Fuel Production Evolutionary Computation: Genetic Algorithm Approach for Raw Materials Mixtures. SSRN Electronic Journal.
Crossref

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