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Modeling and optimization of biodiesel engine performance using advanced machine learning methods

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  1. Bendu, Harisankar & Deepak, B.B.V.L. & Murugan, S., 2017. "Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN–PSO," Applied Energy, Elsevier, vol. 187(C), pages 601-611.
  2. Yu, Xunzhao & Zhu, Ling & Wang, Yan & Filev, Dimitar & Yao, Xin, 2022. "Internal combustion engine calibration using optimization algorithms," Applied Energy, Elsevier, vol. 305(C).
  3. Wang, Huaiyu & Ji, Changwei & Shi, Cheng & Ge, Yunshan & Meng, Hao & Yang, Jinxin & Chang, Ke & Wang, Shuofeng, 2022. "Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine," Energy, Elsevier, vol. 248(C).
  4. Zhang, Qiang & Ogren, Ryan M. & Kong, Song-Charng, 2016. "A comparative study of biodiesel engine performance optimization using enhanced hybrid PSO–GA and basic GA," Applied Energy, Elsevier, vol. 165(C), pages 676-684.
  5. Kirankumar, K.R. & Kumar, G.N. & Kamath, Nagaraja & Gangadharan, K.V., 2024. "Experimental investigation and optimization of performance, emission, and vibro-acoustic parameters of SI engine fueled with n-propanol and gasoline blends using ANN-GA coupled with NSGA3-modified TOPSIS hybrid approach," Energy, Elsevier, vol. 306(C).
  6. Mujtaba, M.A. & Masjuki, H.H. & Kalam, M.A. & Ong, Hwai Chyuan & Gul, M. & Farooq, M. & Soudagar, Manzoore Elahi M. & Ahmed, Waqar & Harith, M.H. & Yusoff, M.N.A.M., 2020. "Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search," Renewable Energy, Elsevier, vol. 158(C), pages 202-214.
  7. Lei, Jianhong & Li, Jing & Wu, Shaohua & Li, Haoxing & Amaratunga, Gehan A.J. & Han, Xu & Yang, Wenming, 2024. "An advanced high dimensional model representation approach for internal combustion engine modeling and optimization," Energy, Elsevier, vol. 311(C).
  8. Silitonga, A.S. & Shamsuddin, A.H. & Mahlia, T.M.I. & Milano, Jassinne & Kusumo, F. & Siswantoro, Joko & Dharma, S. & Sebayang, A.H. & Masjuki, H.H. & Ong, Hwai Chyuan, 2020. "Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization," Renewable Energy, Elsevier, vol. 146(C), pages 1278-1291.
  9. Jafari, M. & Parhizkar, M.J. & Amani, E. & Naderan, H., 2016. "Inclusion of entropy generation minimization in multi-objective CFD optimization of diesel engines," Energy, Elsevier, vol. 114(C), pages 526-541.
  10. Wang, Huaiyu & Ji, Changwei & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan, 2022. "Towards a comprehensive optimization of the intake characteristics for side ported Wankel rotary engines by coupling machine learning with genetic algorithm," Energy, Elsevier, vol. 261(PB).
  11. Silitonga, A.S. & Masjuki, H.H. & Ong, Hwai Chyuan & Sebayang, A.H. & Dharma, S. & Kusumo, F. & Siswantoro, J. & Milano, Jassinnee & Daud, Khairil & Mahlia, T.M.I. & Chen, Wei-Hsin & Sugiyanto, Bamban, 2018. "Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine," Energy, Elsevier, vol. 159(C), pages 1075-1087.
  12. Ali Hosseinabadi & Hajar Siar & Shahaboddin Shamshirband & Mohammad Shojafar & Mohd Nasir, 2015. "Using the gravitational emulation local search algorithm to solve the multi-objective flexible dynamic job shop scheduling problem in Small and Medium Enterprises," Annals of Operations Research, Springer, vol. 229(1), pages 451-474, June.
  13. 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, MDPI, vol. 14(16), pages 1-27, August.
  14. Yi Dong & Jianmin Liu & Yanbin Liu & Xinyong Qiao & Xiaoming Zhang & Ying Jin & Shaoliang Zhang & Tianqi Wang & Qi Kang, 2020. "A RBFNN & GACMOO-Based Working State Optimization Control Study on Heavy-Duty Diesel Engine Working in Plateau Environment," Energies, MDPI, vol. 13(1), pages 1-24, January.
  15. Sungur, Bilal & Basar, Cem & Kaleli, Alirıza, 2023. "Multi-objective optimisation of the emission parameters and efficiency of pellet stove at different supply airflow positions based on machine learning approach," Energy, Elsevier, vol. 278(PA).
  16. Lotfan, S. & Ghiasi, R. Akbarpour & Fallah, M. & Sadeghi, M.H., 2016. "ANN-based modeling and reducing dual-fuel engine’s challenging emissions by multi-objective evolutionary algorithm NSGA-II," Applied Energy, Elsevier, vol. 175(C), pages 91-99.
  17. Hazar, Hanbey & Gul, Hakan, 2016. "Modeling analysis of chrome carbide (Cr3C2) coating on parts of combustion chamber of a SI engine," Energy, Elsevier, vol. 115(P1), pages 76-87.
  18. Shelare, Sagar D. & Belkhode, Pramod N. & Nikam, Keval Chandrakant & Jathar, Laxmikant D. & Shahapurkar, Kiran & Soudagar, Manzoore Elahi M. & Veza, Ibham & Khan, T.M. Yunus & Kalam, M.A. & Nizami, Ab, 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, Elsevier, vol. 282(C).
  19. Arya, Pranav & Millo, Federico & Mallamo, Fabio, 2019. "A fully automated smooth calibration generation methodology for optimization of latest generation of automotive diesel engines," Energy, Elsevier, vol. 178(C), pages 334-343.
  20. Mostafaei, Mostafa & Javadikia, Hossein & Naderloo, Leila, 2016. "Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)," Energy, Elsevier, vol. 115(P1), pages 626-636.
  21. Asadi, Asgar & Zhang, Yaning & Mohammadi, Hassan & Khorand, Hadi & Rui, Zhenhua & Doranehgard, Mohammad Hossein & Bozorg, Mehdi Vahabzadeh, 2019. "Combustion and emission characteristics of biomass derived biofuel, premixed in a diesel engine: A CFD study," Renewable Energy, Elsevier, vol. 138(C), pages 79-89.
  22. Bhowmik, Mrinal & Muthukumar, P. & Anandalakshmi, R., 2019. "Experimental based multilayer perceptron approach for prediction of evacuated solar collector performance in humid subtropical regions," Renewable Energy, Elsevier, vol. 143(C), pages 1566-1580.
  23. Shi, Hao & Liu, Zebang & Mashruk, Syed & Alnajideen, Mohammad & Alnasif, Ali & Liu, Jing & Valera-Medina, Agustin, 2025. "Modeling and optimization of ammonia/hydrogen/air premixed swirling flames for NOx emission control: A hybrid machine learning strategy," Energy, Elsevier, vol. 330(C).
  24. Channapattana, S.V. & Pawar, Abhay A. & Kamble, Prashant G., 2017. "Optimisation of operating parameters of DI-CI engine fueled with second generation Bio-fuel and development of ANN based prediction model," Applied Energy, Elsevier, vol. 187(C), pages 84-95.
  25. Zhu, Zhenxia & Zhang, Fujun & Li, Changjiang & Wu, Taotao & Han, Kai & Lv, Jianguo & Li, Yunlong & Xiao, Xuelian, 2015. "Genetic algorithm optimization applied to the fuel supply parameters of diesel engines working at plateau," Applied Energy, Elsevier, vol. 157(C), pages 789-797.
  26. Hye-Suk Yi & Sangyoung Park & Kwang-Guk An & Keun-Chang Kwak, 2018. "Algal Bloom Prediction Using Extreme Learning Machine Models at Artificial Weirs in the Nakdong River, Korea," IJERPH, MDPI, vol. 15(10), pages 1-20, September.
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