A genetic algorithm-based optimal selection and blending ratio of plastic waste for maximizing economic potential-Reference-Cited by-同舟云学术

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A genetic algorithm-based optimal selection and blending ratio of plastic waste for maximizing economic potential

Published:2024-06 Issue: Volume:186 Page:715-727
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Joo Chonghyo,Lee Jaewon,Lim Jonghun,Kim Junghwan,Cho Hyungtae

Funder

KITECH

Publisher

Elsevier BV

Reference42 articles.

1. Statistical optimization of pyrolysis process for thermal destruction of plastic waste based on temperature-dependent activation energies and pre-exponential factors;Alqarni;Processes,2022

2. A review on pyrolysis of plastic wastes;Anuar Sharuddin;Energy Convers. Manag,2016

3. Genetic algorithms: brief review on genetic algorithms for global optimization problems, in: proceedings - 2022 International Conference on;Anwaar;Hum. -Cent. Cogn. Syst., HCCS 2022. Inst. Electr. Electron. Eng. Inc.,2022

4. Novel process design of desalination wastewater recovery for CO2 and SOX utilization;Cho;Chem. Eng. J.,2022

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. Sustainable chemical recycling of waste plastics into olefins through low-pressure hydrothermal liquefaction and microwave pyrolysis: Techno-economic analysis and life cycle assessment;Energy Conversion and Management;2024-10

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