基于CAFSC算法的航空发动机多管路智能布局

针对航空发动机多管路布局问题,运用协同进化的思想,结合混沌人工鱼群算法,提出了基于混沌人工鱼群协同进化算法的航空发动机多管路智能布局方法.该方法将每个管路对应一个种群,一方面采用混沌人工鱼群算法使各物种在自己的种群中进行独立进化,另一方面采用合作型协同进化方法对由选取的代表构成的系统模型进行进化以使多管路布局达到全局最优.该算法不仅避免了在管路增多情况下的组合爆炸现象,而且不用考虑布局顺序从整体上优化管路布局.

Intelligent Multi-pipes Layout for Aero-Engine Based on CAFSC Algorithm

For the issue of multi-pipes layout for aero-engine， the chaos artificial fish swarm algorithm-based co-evolutionary (CAFSC) algorithm was applied to the intelligent multi-pipes layout， utilizing the idea of co-evolution and combining with the chaos artificial fish algorithm. In the algorithm， every pipe was considered as a population. On the one hand， every population was evolved independently by the chaos artificial fish swarm algorithm. On the other hand， choosing the representation to create the system model， the optimal pipe-routing was achieved by means of mutual collaboration. Facing the increasing pipes， the algorithm avoided the combination explosion， and optimized the pipe-routing on the whole regardless of the layout sequence.