Population-distributed stochastic optimization for distillation processes: Implementation and distribution strategy

[Display omitted] •Population-distributed stochastic optimization for distillation processes.•Reduce the computing time of stochastic optimization by more than 70%.•A framework calls multiple simulators to evaluate the population in stochastic optimization.•Analyze the reason for the loss of paralle...

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Vydané v:	Chemical engineering research & design Ročník 168; s. 357 - 368
Hlavní autori:	Lyu, Hao, Cui, Chengtian, Zhang, Xiaodong, Sun, Jinsheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Rugby Elsevier Ltd 01.04.2021 Elsevier Science Ltd
Predmet:	Benzene Computing time Distillation Distillation process optimization Distilled water Efficiency Evolutionary computation Heat pumps Heat transfer Message passing Optimization Parallel processing Parallel/distributed algorithm Pool model Population-distributed stochastic optimization Pumps Robustness (mathematics) Simulators Stochastic models Studies Toluene Vacuum distillation Xylene Parallel/distributed algorithm Pool model Population-distributed stochastic optimization Distillation process optimization
ISSN:	0263-8762, 1744-3563
On-line prístup:	Získať plný text
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