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典型文献
Automated synthesis of steady-state continuous processes using reinforcement learning
文献摘要:
Automated flowsheet synthesis is an important field in computer-aided process engineering.The present work demonstrates how reinforcement learning can be used for automated flowsheet synthesis without any heuristics or prior knowledge of conceptual design.The environment consists of a steady-state flowsheet simulator that contains all physical knowledge.An agent is trained to take discrete actions and sequentially build up flowsheets that solve a given process problem.A novel method named SynGameZero is developed to ensure good exploration schemes in the complex problem.Therein,flowsheet synthesis is modelled as a game of two competing players.The agent plays this game against itself during training and consists of an artificial neural network and a tree search for forward planning.The method is applied successfully to a reaction-distillation process in a quaternary system.
文献关键词:
作者姓名:
Quirin G(o)ttl;Dominik G.Grimm;Jakob Burger
作者机构:
Technical University of Munich,Campus Straubing for Biotechnology and Sustainability,Laboratory of Chemical Process Engineering,94315 Straubing,Germany;Technical University of Munich,Campus Straubing for Biotechnology and Sustainability,94315 Straubing,Germany;Weihenstephan-Triesdorf University of Applied Sciences,94315 Straubing,Germany;Technical University of Munich,Department of Informatics,85748 Garching,Germany
引用格式:
[1]Quirin G(o)ttl;Dominik G.Grimm;Jakob Burger-.Automated synthesis of steady-state continuous processes using reinforcement learning)[J].化学科学与工程前沿,2022(02):288-302
A类:
flowsheet,flowsheets,SynGameZero
B类:
Automated,synthesis,steady,state,continuous,processes,using,reinforcement,learning,important,field,computer,aided,engineering,present,demonstrates,how,can,be,used,automated,without,any,heuristics,prior,knowledge,conceptual,design,environment,consists,simulator,that,contains,physical,An,agent,trained,take,discrete,actions,sequentially,build,up,solve,given,problem,novel,method,named,developed,ensure,good,exploration,schemes,complex,Therein,modelled,as,game,competing,players,plays,this,against,itself,during,training,artificial,neural,network,tree,search,forward,planning,applied,successfully,reaction,distillation,quaternary,system
AB值:
0.625231
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