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Development of Interdependent Resource Management System for Construction Project Using Genetic Algorithm
Resource allocation is a critical process to use the resources in the construction projects effectively. Time and cost constraints restrict the function of optimal resource allocation. This study was performed by integrating the resource leveling and resource-constrained scheduling concepts to obtain the optimal solution. An evolutionary-based genetic algorithm optimization approach was adopted since resource allocation belongs to the nonpolynomial combinatorial problem. Case study results indicate that the proposed method allows the user to reduce the resource demand variation with the least extension in the project duration. This paper shows that better results were obtained by interdependent resource management compared to other methods. The proposed approach is expected to help the significant stakeholders to perform effective resource allocation.
Development of Interdependent Resource Management System for Construction Project Using Genetic Algorithm
Resource allocation is a critical process to use the resources in the construction projects effectively. Time and cost constraints restrict the function of optimal resource allocation. This study was performed by integrating the resource leveling and resource-constrained scheduling concepts to obtain the optimal solution. An evolutionary-based genetic algorithm optimization approach was adopted since resource allocation belongs to the nonpolynomial combinatorial problem. Case study results indicate that the proposed method allows the user to reduce the resource demand variation with the least extension in the project duration. This paper shows that better results were obtained by interdependent resource management compared to other methods. The proposed approach is expected to help the significant stakeholders to perform effective resource allocation.
Development of Interdependent Resource Management System for Construction Project Using Genetic Algorithm
Lecture Notes in Civil Engineering
Reddy, Krishna R. (Herausgeber:in) / Ravichandran, P. T. (Herausgeber:in) / Ayothiraman, R. (Herausgeber:in) / Joseph, Anil (Herausgeber:in) / Gopinath, S. (Autor:in) / Natesh, T. C. (Autor:in)
International Conference on Civil Engineering Innovative Development in Engineering Advances ; 2023 ; Kattankulathur, India
31.01.2024
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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