Boosting engineering strategies for plastic hydrocracking applications: a machine learning-based multi-objective optimization framework
Zhe Ma, Zhibo Zhang, Changyuan Wang, Jianlin Cao, Yibin Liu, Hao Yan, Xin Zhou, Xiang Feng, De Chen
Abstract
A novel waste plastic pyrolysis oil hydrocracking process uniquely integrating process simulation with advanced deep learning models for multi-objective optimization.
Topics & Concepts
Boosting (machine learning)CrackingProcess (computing)Computer sciencePyrolysisProcess engineeringPlastic wasteArtificial intelligenceMachine learningBiochemical engineeringMaterials scienceEngineeringWaste managementComposite materialOperating systemProcess Optimization and IntegrationBiofuel production and bioconversion