Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimization of Earthwork Allocation Based on Genetic Algorithm
The allocation of earth and rock significantly influences the advancement, expenses, and environmental ramifications of dam construction. Hence, it is imperative to devise a rational allocation plan for earth and rock in water conservancy projects. In this regard, the environmental issues such as soil erosion and dust pollution in the material field during the earthwork allocation of a panel rockfill dam in Sichuan Province are addressed by introducing the model of water and soil prevention and control of the material field. The objective function is the sum of the cost of the earthwork engineering system and the cost of water and soil prevention and control of the material field. The earthwork allocation model considers water and soil prevention and control by integrating various constraints and loss coefficients. The improved genetic algorithm, incorporating elite retention and combined variation, is utilized to optimize the solution. The results indicate that the optimized scheme achieved through the improved genetic algorithm satisfies the earthwork allocation requirements for rockfill dams. Additionally, this model enhances the direct usage rate of the material source, reduces waste residue and transfer, and minimizes the impact of construction on the surrounding ecological environment. This provides an effective approach for the sustainable and eco-friendly construction of rockfill dams.
Optimization of Earthwork Allocation Based on Genetic Algorithm
The allocation of earth and rock significantly influences the advancement, expenses, and environmental ramifications of dam construction. Hence, it is imperative to devise a rational allocation plan for earth and rock in water conservancy projects. In this regard, the environmental issues such as soil erosion and dust pollution in the material field during the earthwork allocation of a panel rockfill dam in Sichuan Province are addressed by introducing the model of water and soil prevention and control of the material field. The objective function is the sum of the cost of the earthwork engineering system and the cost of water and soil prevention and control of the material field. The earthwork allocation model considers water and soil prevention and control by integrating various constraints and loss coefficients. The improved genetic algorithm, incorporating elite retention and combined variation, is utilized to optimize the solution. The results indicate that the optimized scheme achieved through the improved genetic algorithm satisfies the earthwork allocation requirements for rockfill dams. Additionally, this model enhances the direct usage rate of the material source, reduces waste residue and transfer, and minimizes the impact of construction on the surrounding ecological environment. This provides an effective approach for the sustainable and eco-friendly construction of rockfill dams.
Optimization of Earthwork Allocation Based on Genetic Algorithm
Li, Lujia (Autor:in) / Sun, Xiao (Autor:in) / Tian, Zhenghong (Autor:in) / Li, Jiajie (Autor:in)
29.03.2024
748633 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Optimization of Earthwork Allocation Path as Vehicle Route Problem Based on Genetic Algorithm
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