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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Format: | Article |
Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2025-01-01
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Series: | Tehnički Vjesnik |
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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. |
format | Article |
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 |