A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Towards Developing a Robust Optimization Model of Earthwork Allocations in Roadway Projects
https://orcid.org/http://orcid.org/0000-0002-1072-2977
This study employs the robust optimization approach to modify the programming model of earthwork allocations in conventional road construction. Parameter uncertainties could lead to a difference between the problem solution and the optimal solution or prevent the solution’s feasibility. The proposed model considers the potential uncertainties in borrow pit and disposal site capacities and earthwork costs. This model aims to minimize project costs while mitigating problem-based constraints. The model was evaluated using different T values to determine conservativeness levels and data variations. In contrast to the previous linear programming models, the robust model could be less sensitive to the actual condition deviation from the hypothetical condition. The results revealed that a robust model ensures feasible solutions, minimized constraint violations, and minimized deviations from optimality in case of observing a change in the input within the given range. One of the most significant achievements of this research model is to increase the programming robustness based on the model’s information.
Towards Developing a Robust Optimization Model of Earthwork Allocations in Roadway Projects
https://orcid.org/http://orcid.org/0000-0002-1072-2977
This study employs the robust optimization approach to modify the programming model of earthwork allocations in conventional road construction. Parameter uncertainties could lead to a difference between the problem solution and the optimal solution or prevent the solution’s feasibility. The proposed model considers the potential uncertainties in borrow pit and disposal site capacities and earthwork costs. This model aims to minimize project costs while mitigating problem-based constraints. The model was evaluated using different T values to determine conservativeness levels and data variations. In contrast to the previous linear programming models, the robust model could be less sensitive to the actual condition deviation from the hypothetical condition. The results revealed that a robust model ensures feasible solutions, minimized constraint violations, and minimized deviations from optimality in case of observing a change in the input within the given range. One of the most significant achievements of this research model is to increase the programming robustness based on the model’s information.
Towards Developing a Robust Optimization Model of Earthwork Allocations in Roadway Projects
https://orcid.org/http://orcid.org/0000-0002-1072-2977
This study employs the robust optimization approach to modify the programming model of earthwork allocations in conventional road construction. Parameter uncertainties could lead to a difference between the problem solution and the optimal solution or prevent the solution’s feasibility. The proposed model considers the potential uncertainties in borrow pit and disposal site capacities and earthwork costs. This model aims to minimize project costs while mitigating problem-based constraints. The model was evaluated using different T values to determine conservativeness levels and data variations. In contrast to the previous linear programming models, the robust model could be less sensitive to the actual condition deviation from the hypothetical condition. The results revealed that a robust model ensures feasible solutions, minimized constraint violations, and minimized deviations from optimality in case of observing a change in the input within the given range. One of the most significant achievements of this research model is to increase the programming robustness based on the model’s information.
Towards Developing a Robust Optimization Model of Earthwork Allocations in Roadway Projects
Iran J Sci Technol Trans Civ Eng
Katebi, Ali (author) / Pishvaee, Mir Saman (author) / Mohebalizadeh, Ali (author) / Pazhuhandeh, Ashkan (author) / Katebi, Bahareh (author)
2023-08-01
14 pages
Article (Journal)
Electronic Resource
English
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