Hybridization of reinforcement learning and agent-based modeling to optimize construction planning and scheduling

NS Kedir, S Somi, AR Fayek, PHD Nguyen - Automation in Construction, 2022 - Elsevier
Decision-making in construction planning and scheduling is complex because of budget
and resource constraints, uncertainty, and the dynamic nature of construction environments …

Optimal Earthmoving-Equipment Combination Considering Carbon Emissions with an Indicator-Based Multiobjective Optimizer

K Miao, W Lou, P Schonfeld, Z Xiao - Journal of Construction …, 2024 - ascelibrary.org
Reasonable earthmoving-equipment combinations have helped to reduce duration and cost
in the construction industry traditionally. However, reducing carbon emissions in …

[PDF][PDF] Towards improving earthworks production from an Industry 4.0 perspective: the role of remote information technologies and dynamic optimization techniques

M Parente, AG Correia, G Figueira… - Proceedings of 7th …, 2018 - academia.edu
This work conceptualizes an integrated real-time management and dynamic optimization
system for earthwork fleets, based on recent technological developments with potential to …

Minimizing earthwork volumes by optimizing vertical alignment with linear programming algorithm

A Artun, AE Radaev, VL Badenko - Строительство уникальных зданий …, 2019 - elibrary.ru
Earthwork cost is one of the major cost items (approximately 25% of the construction costs)
in road construction projects. The amount of earthwork volumes therefore earthwork cost …

[图书][B] Demands, Importance and Potential of Excavator Tracking on Earthwork Construction Sites

LS Lamerichs - 2022 - publications.rwth-aachen.de
With the global excavator market expected to increase by 43% in the year 2026 compared to
2018, industries across the world are urging for advanced technologies.[1] This paper …