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Pipe Routing Approach for Aircraft Engines Based on Ant Colony Optimization

机译:基于蚁群算法的飞机发动机管道布线方法

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Aircraft engines usually contain a lot of pipes and cables whose routing design greatly affects engine performance and reliability. In this paper a pipe routing approach for aircraft engines based on ant colony optimization is proposed, which contains improvements in three aspects. First, constraints over aircraft engine pipe routing are formulated and classified with respect to nine aspects. Second, a fan annual mesh of the layout space is developed, and two-mesh division is conducted to store and update environmental information about the layout space. Every unit obtained by the layout space modeling has been assigned a potential value to meet constraints and represent different areas in the layout space. Third, an improved ant colony optimization is developed for pipe routing, which includes the classification of ant colony, rank mechanism updating rule of pheromone intensity, and a dynamic updating rule of heuristic information. Every ant can search for 26 adjacent units in random directions and across layers. Simulation results show that the proposed pipe routing approach is effective. (C) 2015 American Society of Civil Engineers.
机译:飞机发动机通常包含许多管道和电缆,其布线设计会极大地影响发动机性能和可靠性。本文提出了一种基于蚁群优化的飞机发动机管道布线方法,该方法包括三个方面的改进。首先,针对飞机发动机管路的约束条件,从九个方面进行阐述和分类。其次,开发布局空间的风扇年度网格,并进行两网格划分以存储和更新有关布局空间的环境信息。通过布局空间建模获得的每个单元都被分配了一个潜在值,以满足约束条件并代表布局空间中的不同区域。第三,提出了一种改进的蚁群优化算法,包括蚁群的分类,信息素强度的等级机制更新规则和启发式信息的动态更新规则。每个蚂蚁都可以在随机方向和跨层搜索26个相邻单元。仿真结果表明,该方法是有效的。 (C)2015年美国土木工程师学会。

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