基于协同进化的人工蜂群算法在多管道自动布局中的应用

Chang-tao Wang, Zhe Wang, Zhong-hua Han
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引用次数: 1

摘要

为了解决建筑环境中多管道布局问题,设计了一种基于概率选择生成的初始路径管道,并采用协同进化和人工蜂群算法进行求解。介绍了人工蜂群协同进化算法在多管道自动布置中的应用。每个管道对应一个种群。一方面,它独立发展;同时,在建筑模型中采用协同进化对管道布局进行优化。仿真结果表明,该算法求解的多管道自动布置图适用于建筑环境模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Artificial Bee Colony Algorithm Based on Co-Evolution in Automatic Layout of Building Multiple Pipelines
In order to solve the problem of multi-pipeline layout in building environment, an initial path pipeline based on probabilistic selection generation is designed and solved with co-evolution and artificial bee colony algorithm. This paper presents the application of artificial bee colony co-evolution algorithm in multi-pipeline automatic layout. Each pipeline corresponds to a population. On the one hand, it evolves independently; at the same time, it adopts cooperative coevolution to optimize the pipeline layout in the building model. The resulting simulation solutions show that the multi-pipeline automatic layout solved by this algorithm is suitable for the application in the building environment model.
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