Dynamic Real-Time Optimization of Modular Unit Allocation to Off-Site Facilities in Postdisaster Reconstruction Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Dynamic Real-Time Optimization of Modular Unit Allocation to Off-Site Facilities in Postdisaster Reconstruction Using Deep Reinforcement Learning

Published:2024-07 Issue:4 Volume:40 Page:
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Deria Anisha¹^ORCID,Ghannad Pedram²,Lee Yong-Cheol³^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Construction Management, Louisiana State Univ., 249 Electrical Engineering Bldg., Baton Rouge, LA 70803. ORCID: .

2. Assistant Professor, Dept. of Civil Engineering, Bradley Univ., 1500 W Main St., Business and Engineering Convergence Center (BECC), 2262, Peoria, IL 61606.

3. Associate Professor, Dept. of Construction Management, Louisiana State Univ., 3315E Patrick F. Taylor Hall, Baton Rouge, LA 70803 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JMENEA.MEENG-5900

Reference64 articles.

1. Fuzzy-Wavelet RBFNN Model for Freeway Incident Detection

2. Al-Tabtabai H. M. 1996. “Computer-aided conflict resolution in construction management and planning.” In Proc. Int. Symp. for the Organization and Management of Construction: Managing Construction Information 206. New York: Taylor & Francis.

3. Off-Site Construction Planning Using Discrete Event Simulation

4. Analysis of Workflow Variability and Its Impacts on Productivity and Performance in Construction of Multistory Buildings

5. Dynamic job-shop scheduling using reinforcement learning agents

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