Genetic‐based multi‐objective optimization of alkylation process by a hybrid model of statistical and artificial intelligence approaches-Reference-Cited by-同舟云学术

Genetic‐based multi‐objective optimization of alkylation process by a hybrid model of statistical and artificial intelligence approaches

Published:2021-04-19 Issue:1 Volume:100 Page:90-102
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can J Chem Eng

Author:

Mahmoudian Farimah¹,Moghaddam Amin Hedayati¹,Davachi Seyed Mohammad¹²

Affiliation:

1. Department of Chemical Engineering, Central Tehran Branch Islamic Azad University Tehran Iran

2. Soft Tissue Engineering Research Center Tissue Engineering and Regenerative Medicine Institute, Central Tehran Branch, Islamic Azad University Tehran Iran

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24072

Reference18 articles.

1. Chemical Process Design

2. An Evaluation of the Aquatic Hazard of Cumene (Isopropyl Benzene)

3. Applications of dividing wall column technology to industrial-scale cumene production

4. Design and Control of a Vapor-Phase Conventional Process and Reactive Distillation Process for Cumene Production

5. Application of Cumene Technology Mathematical Model

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