<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Safety plays a crucial role in construction projects. Safety risks encompass potential hazards such as work accidents, injuries, and security. Consequently, it is important to effectively manage these risks with equal emphasis on time and cost considerations during the project planning phase. Within the scope of this research, the grid and archive-based Grey Wolf Optimizer (GWO) algorithm was employed to investigate multi-objective time-cost-risk problems. By employing the GWO, multiple Pareto solutions were provided to the decision-maker, facilitating improved decision-making. It was determined that the GWO algorithm yields better results in time-cost-risk problems compared to the Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms.</p>
</abstract>

Safety plays a crucial role in construction projects. Safety risks encompass potential hazards such as work accidents, injuries, and security. Consequently, it is important to effectively manage these risks with equal emphasis on time and cost considerations during the project planning phase. Within the scope of this research, the grid and archive-based Grey Wolf Optimizer (GWO) algorithm was employed to investigate multi-objective time-cost-risk problems. By employing the GWO, multiple Pareto solutions were provided to the decision-maker, facilitating improved decision-making. It was determined that the GWO algorithm yields better results in time-cost-risk problems compared to the Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms.

Investigating multi-objective time, cost, and risk problems using the Grey Wolf Optimization algorithm

Construction of Optimized Energy Potential

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Safety plays a crucial role in construction projects. Safety risks encompass potential hazards such as work accidents, injuries, and security. Consequently, it...

Investigating multi-objective time, cost, and risk problems using the Grey Wolf Optimization algorithm

Data publikacji: 28 paź 2023

Zakres stron: 79 - 86

DOI: https://doi.org/10.17512/bozpe.2023.12.09

Słowa kluczowe
multi-objective optimization, grey wolf optimization algorithm, time-cost-risk

© 2023 Mehmet Yilmaz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Investigating multi-objective time, cost, and risk problems using the Grey Wolf Optimization algorithm

Data publikacji: 28 paź 2023

Zakres stron: 79 - 86

DOI: https://doi.org/10.17512/bozpe.2023.12.09

Słowa kluczowemulti-objective optimization, grey wolf optimization algorithm, time-cost-risk

© 2023 Mehmet Yilmaz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
multi-objective optimization, grey wolf optimization algorithm, time-cost-risk