An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective-Reference-Cited by-同舟云学术

An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective

Published:2023-04-26 Issue:4 Volume:6 Page:276-293
ISSN:2573-234X
Container-title:Journal of Business Analytics
language:en
Short-container-title:Journal of Business Analytics

Author:

Mousavi Seyed Mohsen¹,Sadeghi R. Kiarash²,Lee Lai Soon³⁴

Affiliation:

1. Department of Supply Chain Management, Parker-Hannifin Company, Castle Hill, NSW, Australia

2. Department of Marketing and Supply Chain Management, Willie A. Deese College of Business and Economics, North Carolina A&T State University, Greensboro, NC, USA

3. Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research, University Putra Malaysia, Serdang, Selangor, Malaysia

4. Department of Mathematics and Statistics, Faculty of Science, University Putra Malaysia, Serdang, Selangor, Malaysia

Funder

Ministry of Higher Education Malaysia through the Fundamental Research Grant

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems and Management,Management Science and Operations Research,General Decision Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/2573234X.2023.2202691

Reference38 articles.

1. Surrogate assisted interactive multiobjective optimization in energy system design of buildings

2. Dwarf Mongoose Optimization Algorithm

3. Distributionally robust optimization of a Canadian healthcare supply chain to enhance resilience during the COVID-19 pandemic

4. A differential evolution for simultaneous transit network design and frequency setting problem

5. Hybrid Differential Evolution-Particle Swarm Optimization Algorithm for Multiobjective Urban Transit Network Design Problem with Homogeneous Buses

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