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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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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. |
first_indexed | 2024-04-10T15:47:26Z |
format | Article |
id | doaj.art-663c1a6b7bb94569bd9758a95200528f |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-10T15:47:26Z |
publishDate | 2023-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
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 |