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基因演算法應用於三維管路佈置之研究

Study on the Genetic Algorithms Based 3-D Pipe Routing

摘要


本研究運用基因演算法發展出適合於三維管路佈置的法則,將管路設備圖以標準交換檔案格式匯入基因演算程式系統(Soft Evolver),以最短管長及最少彎管數為設計目標函數,反覆演算搜尋最佳值,並運用電腦輔助繪圖軟體繪製出三維船舶管路佈置圖,得以有效率地提供設計人員建議的管路路徑。文中針對一實際管路佈置案例進行研究,探討以基因演算法方式決定三維管路佈置時,演算過程中權重、族群大小、交配率及突變率等因素分別對目標函數產生的影響。

並列摘要


In this paper, we present an approach to solving the pipe routing problem that makes use of genetic algorithms (GAs) for optimization and the .dxf format for representation of the obstacle. GAs, a nondeterministic optimization method, is adopted due to its versatile features related to searching global optimal solution. A mathematical programming optimization approach is utilized as it allows the modeling of both the design constraints and objectives. It has been implemented to optimize the total length of the connecting pipes and number of bends while avoiding obstacles. The versatility of the current approach and its ability to accommodate and efficiently solve problems involving 3D freeform obstacles is demonstrated.

並列關鍵字

Genetic Algorithms Pipe Routing CAD

被引用紀錄


黃志豪(2010)。應用三維空間套圖在科技廠房機電工程施工之研究〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2010.00926
黃婷妮(2010)。山苦瓜萃物暨其區分物之腸泌素效應〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2010.02773

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