A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors-Reference-Cited by-同舟云学术

A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors

Published:2022-07-19 Issue:3 Volume:56 Page:2435-2496
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Al Ani Zainab,Gujarathi Ashish M.,Al-Muhtaseb Ala’a H.

Funder

Sultan Qaboos University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-022-10219-z.pdf

Reference372 articles.

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2. Abraham A, Jain L (2005) Evolutionary multiobjective optimization, Evolutionary Multiobjective Optimization. Springer, pp 1–6

3. Adeyemo J, Stretch D (2018) Review of hybrid evolutionary algorithms for optimizing a reservoir. S Afr J Chem Eng 25:22–31

4. Afshar-Nadjafi B, Razmi-Farooji A (2018) Using NSGA II and MOSA for solving multi-depots time-dependent vehicle routing problem with heterogeneous fleet. J Optim Industrial Eng 11:161–170

5. Agarwal A, Gupta SK (2008) Jumping gene adaptations of NSGA-II and their use in the multi-objective optimal design of shell and tube heat exchangers. Chem Eng Res Des 86:123–139

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