Surrogate-assisted constrained hybrid particle swarm optimization algorithm for propane pre-cooled mixed refrigerant LNG process optimization-Reference-Cited by-同舟云学术

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Surrogate-assisted constrained hybrid particle swarm optimization algorithm for propane pre-cooled mixed refrigerant LNG process optimization

Published:2024-10 Issue: Volume:305 Page:132165
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Ahmed Rasel^ORCID,Mahadzir Shuhaimi^ORCID,Ferdush Jannatul,Matovu Fahad,Mota-Babiloni Adrián^ORCID,Hafyan Rendra Hakim

Publisher

Elsevier BV

Reference71 articles.

1. Comprehensive review of the design optimization of natural gas liquefaction processes: current status and perspectives;Qyyum;Ind Eng Chem Res,2018

2. The outlook for energy: a view to 2040;Onderdonk,2017

3. Retrospective and future perspective of natural gas liquefaction and optimization technologies contributing to efficient LNG supply: a review;Khan;J Nat Gas Sci Eng,2017

4. Liquefied natural gas for Europe-some important issues for consideration;Kavalov,2009

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Approach for Predicting CO2 Emissions in the Building Industry Using a Hybrid Multi-Strategy Improved Particle Swarm Optimization–Long Short-Term Memory Model;Energies;2024-09-01

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