Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm
Abstract Prefabricated construction offers significant advantages in efficiency, resource savings, and environmental sustainability, yet its scheduling remains challenging due to complex resource constraints and task interdependencies. This study proposes a dual-objective optimization model to minim...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
|
| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-025-00898-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849238444260196352 |
|---|---|
| author | Rui Su Joey S. Aviles |
| author_facet | Rui Su Joey S. Aviles |
| author_sort | Rui Su |
| collection | DOAJ |
| description | Abstract Prefabricated construction offers significant advantages in efficiency, resource savings, and environmental sustainability, yet its scheduling remains challenging due to complex resource constraints and task interdependencies. This study proposes a dual-objective optimization model to minimize project duration and resource fluctuation in prefabricated construction projects. To solve this model effectively, an Improved Whale Optimization Algorithm (IWOA) is developed, addressing the limitations of the standard WOA such as premature convergence and poor local search ability. The proposed IWOA incorporates Tent chaotic mapping for population diversification, a nonlinear convergence factor to balance exploration and exploitation, and a hybrid search mechanism that integrates crossover operations and multiple neighborhood strategies. A real-world case study demonstrates the algorithm’s superiority over conventional approaches in both solution accuracy and stability. The results show that the optimized schedule significantly improves resource allocation efficiency and reduces construction time, offering a promising approach for intelligent scheduling in resource-constrained prefabricated building projects. |
| format | Article |
| id | doaj-art-2028c2a8e4cd4266afd4eed10dd52bee |
| institution | Kabale University |
| issn | 1875-6883 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj-art-2028c2a8e4cd4266afd4eed10dd52bee2025-08-20T04:01:36ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832025-07-0118112110.1007/s44196-025-00898-1Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization AlgorithmRui Su0Joey S. Aviles1Graduate School, Angeles University FoundationGraduate School, Angeles University FoundationAbstract Prefabricated construction offers significant advantages in efficiency, resource savings, and environmental sustainability, yet its scheduling remains challenging due to complex resource constraints and task interdependencies. This study proposes a dual-objective optimization model to minimize project duration and resource fluctuation in prefabricated construction projects. To solve this model effectively, an Improved Whale Optimization Algorithm (IWOA) is developed, addressing the limitations of the standard WOA such as premature convergence and poor local search ability. The proposed IWOA incorporates Tent chaotic mapping for population diversification, a nonlinear convergence factor to balance exploration and exploitation, and a hybrid search mechanism that integrates crossover operations and multiple neighborhood strategies. A real-world case study demonstrates the algorithm’s superiority over conventional approaches in both solution accuracy and stability. The results show that the optimized schedule significantly improves resource allocation efficiency and reduces construction time, offering a promising approach for intelligent scheduling in resource-constrained prefabricated building projects.https://doi.org/10.1007/s44196-025-00898-1Prefabricated constructionProject schedulingMulti-resource constraintsIWOAMulti-objective optimization |
| spellingShingle | Rui Su Joey S. Aviles Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm International Journal of Computational Intelligence Systems Prefabricated construction Project scheduling Multi-resource constraints IWOA Multi-objective optimization |
| title | Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm |
| title_full | Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm |
| title_fullStr | Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm |
| title_full_unstemmed | Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm |
| title_short | Construction Scheduling Optimization of Prefabricated Buildings Under Resource Constraints Based on an Improved Whale Optimization Algorithm |
| title_sort | construction scheduling optimization of prefabricated buildings under resource constraints based on an improved whale optimization algorithm |
| topic | Prefabricated construction Project scheduling Multi-resource constraints IWOA Multi-objective optimization |
| url | https://doi.org/10.1007/s44196-025-00898-1 |
| work_keys_str_mv | AT ruisu constructionschedulingoptimizationofprefabricatedbuildingsunderresourceconstraintsbasedonanimprovedwhaleoptimizationalgorithm AT joeysaviles constructionschedulingoptimizationofprefabricatedbuildingsunderresourceconstraintsbasedonanimprovedwhaleoptimizationalgorithm |