Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem.

Autor: Liu G; Department of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China., Li X; Department of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China., Alam KM; China Study Centre, Karakoram International University, Gilgit -Baltistan, Pakistan.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2023 Feb 09; Vol. 18 (2), pp. e0278634. Date of Electronic Publication: 2023 Feb 09 (Print Publication: 2023).
DOI: 10.1371/journal.pone.0278634
Abstrakt: The importance of the time-cost-quality trade-off problem in construction projects has been widely recognized. Its goal is to minimize time and cost and maximize quality. In this paper, the bonus-penalty mechanism is introduced to improve the traditional time-cost model, and considering the nonlinear relationship between quality and time, a nonlinear time-cost quality model is established. Meanwhile, in order to better solve the time-cost-quality trade-off problem, a multi-objective immune wolf colony optimization algorithm has been proposed. The hybrid method combines the fast convergence of the wolf colony algorithm and the excellent diversity of the immune algorithm to improve the accuracy of the wolf colony search process. Finally, a railway construction project is taken as an example to prove the effectiveness of the method.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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