Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm

This study proposes an optimization method for construction project plan management using a parameter-adaptive improved genetic algorithm (IGA) combined with differential evolution (DE). The method addresses the challenges of inflexibility, inefficient resource allocation, and unscientific schedulin...

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Main Author: Tianya Jia
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2025-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/471025
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author Tianya Jia
author_facet Tianya Jia
author_sort Tianya Jia
collection DOAJ
description This study proposes an optimization method for construction project plan management using a parameter-adaptive improved genetic algorithm (IGA) combined with differential evolution (DE). The method addresses the challenges of inflexibility, inefficient resource allocation, and unscientific scheduling in traditional project management approaches. A multi-objective optimization model that balances project duration and resource utilization is developed. A case study demonstrated that the optimized methods reduced the project duration by up to 22.7% and the resource variance by up to 29.9% compared to the original plan. The proposed method enhances the flexibility and efficiency of construction project planning, contributing to both theoretical advancement in optimization algorithms and practical improvements in project management.
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id doaj-art-952d9bb9d0bf4ccbb1cc979b1d9aaf9a
institution Kabale University
issn 1330-3651
1848-6339
language English
publishDate 2025-01-01
publisher Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
record_format Article
series Tehnički Vjesnik
spelling doaj-art-952d9bb9d0bf4ccbb1cc979b1d9aaf9a2024-12-31T15:43:44ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392025-01-013219810610.17559/TV-20240720001868Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic AlgorithmTianya Jia0Intelligent Construction College, Dazhou Vocational and Technical College, Dazhou, Sichuan, 635001, ChinaThis study proposes an optimization method for construction project plan management using a parameter-adaptive improved genetic algorithm (IGA) combined with differential evolution (DE). The method addresses the challenges of inflexibility, inefficient resource allocation, and unscientific scheduling in traditional project management approaches. A multi-objective optimization model that balances project duration and resource utilization is developed. A case study demonstrated that the optimized methods reduced the project duration by up to 22.7% and the resource variance by up to 29.9% compared to the original plan. The proposed method enhances the flexibility and efficiency of construction project planning, contributing to both theoretical advancement in optimization algorithms and practical improvements in project management.https://hrcak.srce.hr/file/471025construction engineeringgenetic algorithmparameter adaptationproject plan management
spellingShingle Tianya Jia
Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm
Tehnički Vjesnik
construction engineering
genetic algorithm
parameter adaptation
project plan management
title Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm
title_full Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm
title_fullStr Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm
title_full_unstemmed Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm
title_short Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm
title_sort optimizing construction project plan management using parameter adaptive improved genetic algorithm
topic construction engineering
genetic algorithm
parameter adaptation
project plan management
url https://hrcak.srce.hr/file/471025
work_keys_str_mv AT tianyajia optimizingconstructionprojectplanmanagementusingparameteradaptiveimprovedgeneticalgorithm