Crane Mat Layout Optimization Based on Agent-Based Greedy and Reinforcement-Learning Approach-Reference-Cited by-同舟云学术

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Crane Mat Layout Optimization Based on Agent-Based Greedy and Reinforcement-Learning Approach

Published:2023-08 Issue:8 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Ali Ghulam Muhammad¹^ORCID,Bouferguene Ahmed²,Al-Hussein Mohamed³^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3 (corresponding author). ORCID: .

2. Professor, Campus Saint-Jean, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3.

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-12891

Reference42 articles.

1. D-CRANE: a database system for utilization of cranes

2. Optimization Algorithm for Selection and on Site Location of Mobile Cranes

3. Ali G. M. M. Al-Hussein and A. Bouferguene. 2019. “Use of finite element analysis for the estimate of freezing & maintenance phase of indirect & direct artificial ground freezing of proposed frozen silt mat an alternative of timber mat.” In Proc. 2019 Int. Symp. on Automation and Robotics in Construction (ISARC) 846–853. Banff AB Canada: International Association for Automation and Robotics in Construction. https://doi.org/10.22260/ISARC2019/0114.

4. An A-Star algorithm for semi-optimization of crane location and configuration in modular construction

5. When the greedy algorithm fails

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1. Integrated reinforcement and imitation learning for tower crane lift path planning;Automation in Construction;2024-09

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