Novel competing evolutionary membrane algorithm based on multiple reference points for multi-objective optimization of ethylene cracking processes-Reference-Cited by-同舟云学术

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Novel competing evolutionary membrane algorithm based on multiple reference points for multi-objective optimization of ethylene cracking processes

Published:2021-10 Issue: Volume:217 Page:104389
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Cong Di,Shi Chunjing^ORCID,Cui Yunfei,Han Yongming^ORCID,Geng Zhiqiang

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Science and Technology Program of Guizhou Province

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference45 articles.

1. Review: multi-objective optimization methods and application in energy saving;Cui;Energy,2017

2. A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms;Chugh;Soft Comput,2019

3. An enhanced Borg algorithmic framework for solving the hydro-thermal-wind Co-scheduling problem;Ji;Energy,2021

4. Dimensional synthesis for multi-linkage robots based on a niched Pareto genetic algorithm;Wu;Algorithms,2020

5. Thermal optimization of a kirigami-patterned wearable lithium-ion battery based on a novel design of composite phase change material;Yang;Appl. Therm. Eng.,2019

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1. Assessing the resilience of optimal solutions in multiobjective problems;Chemometrics and Intelligent Laboratory Systems;2023-08

2. A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors;Artificial Intelligence Review;2022-07-19

3. Life Cycle Assessment and Multiobjective Optimization for Steam Cracking Process in Ethylene Plant;ACS Omega;2022-04-27

4. Fuzzy multiobjective hierarchical optimization with application to identify antienzymes of colon cancer cells;Journal of the Taiwan Institute of Chemical Engineers;2022-03

5. Dynamic soft sensor modeling method fusing process feature information based on an improved intelligent optimization algorithm;Chemometrics and Intelligent Laboratory Systems;2021-10

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