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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Vydáno v:PloS one Ročník 18; číslo 2; s. e0278634
Hlavní autoři: Liu, Guanyi, Li, Xuemei, Alam, Khalid Mehmood
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 09.02.2023
Public Library of Science (PLoS)
Témata:
Algorithms
Analysis
Biology and Life Sciences
Colonies
Construction industry
Cost benefit analysis
Critical path
Crystal structure
Economic aspects
Efficiency
Engineering and Technology
Evaluation
Facility Design and Construction
Genetic algorithms
Integer programming
Linear programming
Mathematical optimization
Medicine and Health Sciences
Motivation
Multiple objective analysis
Nonlinear Dynamics
Optimization
Optimization algorithms
Physical Sciences
Planning
Project engineering
Project management
Research and Analysis Methods
Search process
Social Sciences
Tradeoffs
Urbanization
China
ISSN:1932-6203, 1932-6203
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Popis
Shrnutí: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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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0278634