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

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 nonlinea...

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Main Authors: Guanyi Liu, Xuemei Li, Khalid Mehmood Alam
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910742/?tool=EBI
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author Guanyi Liu
Xuemei Li
Khalid Mehmood Alam
author_facet Guanyi Liu
Xuemei Li
Khalid Mehmood Alam
author_sort Guanyi Liu
collection DOAJ
description 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.
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spelling doaj.art-663c1a6b7bb94569bd9758a95200528f2023-02-12T05:31:08ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problemGuanyi LiuXuemei LiKhalid Mehmood AlamThe 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910742/?tool=EBI
spellingShingle Guanyi Liu
Xuemei Li
Khalid Mehmood Alam
Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem
PLoS ONE
title Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem
title_full Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem
title_fullStr Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem
title_full_unstemmed Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem
title_short Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem
title_sort multiple objective immune wolf colony algorithm for solving time cost quality trade off problem
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910742/?tool=EBI
work_keys_str_mv AT guanyiliu multipleobjectiveimmunewolfcolonyalgorithmforsolvingtimecostqualitytradeoffproblem
AT xuemeili multipleobjectiveimmunewolfcolonyalgorithmforsolvingtimecostqualitytradeoffproblem
AT khalidmehmoodalam multipleobjectiveimmunewolfcolonyalgorithmforsolvingtimecostqualitytradeoffproblem