Temat: Cost optimization - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

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Skocz do pozycji: 2.

Tytuł:: Solving a stochastic time-cost-quality trade-off problemby meta-heuristic optimization algorithms
Autorzy:: Mohammadi, Mohammad Owais
Dede, Tayfun
Grzywiński, Maksym
Powiązania:: https://bibliotekanauki.pl/articles/31342639.pdf
Data publikacji:: 2022
Wydawca:: Politechnika Częstochowska
Tematy:: stochastyczny kompromis czas-koszt-jakość
algorytmy optymalizacji
problemy optymalizacji
stochastic time-cost-quality trade-off
non-dominating sorting-II
teaching-learning-based optimization
Opis:: Actual time, cost, and quality of execution options for various activities within a considered project cannot be certainly determined prior to construction, there could be three different values of time and cost for each execution option, namely, optimistic value, most likely or normal value, and pessimistic value; and the quality could be described in linguistic terms.The objective of this research is to optimize time, cost, and quality of construction projects under uncertainty utilizing the program evaluation and review technique. In this study, multi-objective functions are used to decrease total project time and total project cost whilemaximizing overall project quality. For satisfying time-cost-quality trade-off optimization, a multi-objective optimization strategy is required. The non-dominating sorting-II conceptand the crowding distance computation mechanism are combined with the teaching learning-based optimization algorithm to optimize time-cost-quality optimization problems. Non-dominating sorting-II teaching learning-based optimization algorithm is coded in MATLAB to optimize the trade-off between time, cost, and quality optimization problems. In the proposed model, the non-dominating sorting-II approach and crowding distance computationmechanism are responsible for handling objectives effectively and efficiently. Teaching learning-based optimization algorithm’s teacher and learner phases ensure that the searched solution space is explored and exploited. The proposed algorithm is applied to a 13-activity example problem, and the results show that it provides satisfactory results.
Źródło:: Budownictwo o Zoptymalizowanym Potencjale Energetycznym; 2022, 11; 41-48
2299-8535
2544-963X
Pojawia się w:: Budownictwo o Zoptymalizowanym Potencjale Energetycznym
Dostawca treści:: Biblioteka Nauki

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