- Tytuł:
- Investigating multi-objective time, cost, and risk problems using the Grey Wolf Optimization algorithm
- Autorzy:
-
Yilmaz, Mehmet
Dede, Tayfun
Grzywiński, Maksym - Powiązania:
- https://bibliotekanauki.pl/articles/31342511.pdf
- Data publikacji:
- 2023
- Wydawca:
- Politechnika Częstochowska
- Tematy:
-
multi-objective optimization
grey wolf optimization algorithm
time-cost-risk
optymalizacja wielocelowa
algorytm optymalizacji szarego wilka
czas-koszt-ryzyko - Opis:
- 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 decisionmaker, 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.
- Źródło:
-
Budownictwo o Zoptymalizowanym Potencjale Energetycznym; 2023, 12; 79-86
2299-8535
2544-963X - Pojawia się w:
- Budownictwo o Zoptymalizowanym Potencjale Energetycznym
- Dostawca treści:
- Biblioteka Nauki
Artykuł