Hybrid meta-heuristic algorithms for optimising a sustainable agricultural supply chain network considering CO2 emissions and water consumption-Reference-Cited by-同舟云学术

Hybrid meta-heuristic algorithms for optimising a sustainable agricultural supply chain network considering CO2 emissions and water consumption

Published:2021-12-16 Issue: Volume: Page:1-30
ISSN:2330-2674
Container-title:International Journal of Systems Science: Operations & Logistics
language:en
Short-container-title:International Journal of Systems Science: Operations & Logistics

Author:

Goodarzian Fariba¹,Shishebori Davood²,Bahrami Farzad³,Abraham Ajith¹⁴,Appolloni Andrea⁵⁶

Affiliation:

1. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, USA

2. Department of Industrial Engineering, Yazd University, Yazd, Iran

3. Department of Industrial Management, Faculty of Law & Economics, Arak University, Arak, Iran

4. Center for Artificial Intelligence, Innopolis University, Innopolis, Russia

5. Department of Management and Law, Faculty of Economics, University of Rome Tor Vergata, Rome, Italy

6. School of Management, Cranfield University, Bedford, UK

Publisher

Informa UK Limited

Subject

Information Systems and Management,Management Science and Operations Research,Information Systems,Management Information Systems

Link

Reference59 articles.

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