Three-stage multi-objective optimization approach based on sparsity knowledge for multi-airship earth-observation task scheduling-Reference-Cited by-同舟云学术

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Three-stage multi-objective optimization approach based on sparsity knowledge for multi-airship earth-observation task scheduling

Published:2024-01 Issue: Volume:127 Page:107290
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Su Xuqi^ORCID,Jing Yuhao^ORCID,Zhou Pingfang^ORCID,Yu Deyu^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference44 articles.

1. Environmental impact assessment with rapid impact assessment matrix method during the COVID-19 pandemic: A case study in Tehran;Abbasi,2023

2. A systematic review of green supply chain network design literature focusing on carbon policy;Abbasi;Decis. Anal. J.,2023

3. Designing a tri-objective, sustainable, closed-loop, and multi-echelon supply chain during the COVID-19 and lockdowns;Abbasi;Found. Comput. Decis. Sci.,2023

4. The sustainable supply chain of CO2 emissions during the coronavirus disease (COVID-19) pandemic;Abbasi;J. Ind. Eng. Int.,2021

5. Green closed-loop supply chain network design during the coronavirus (COVID-19) pandemic: A case study in the Iranian Automotive Industry;Abbasi;Environ. Model. Assess.,2023

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 clustering-based archive handling method and multi-objective optimization of the optimal power flow problem;Applied Intelligence;2024-08-29

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