基于混合智能水滴算法的电缆布线优化研究

Q4 Engineering
Chunquan Li, Ming Zhang, Y. Shang, Hua Yuwei
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引用次数: 1

摘要

电缆装配问题被公式化为搜索电缆路线,电缆布线问题是最具挑战性的优化问题之一。电缆布线是一个受装配点约束的无障碍路径搜索过程。在路由之前,为了减少计算,将路由环境简化为二维网格图。为了得到优化的路由路径,提出了一种新的混合智能水滴算法(HIWDA),该算法将粒子群优化算法(PSO)和智能水滴算法分别用于全局搜索和局部搜索。此外,使用B样条曲线对HIWDA获得的路线进行平滑处理,使其更具实用性和装配可行性。通过与其他算法的仿真实验,验证了HIWDA算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the cable routing optimisation by hybrid intelligent water drop algorithm
Cable assembly problem is formulated as searching for cable routes and the cable routing problem is one of the most challenging optimisation problems. Cable routing is the process of searching for obstacle-free path, which is constrained by the assembly points. Before routing, the routing environment is simplified to a two-dimensional grid map for computing reduction. In order to get the optimisation routing path, a novel approach of hybrid intelligent water drop algorithm (HIWDA) for cable routing is proposed, which is the hybridisation of particle swarm optimisation (PSO) and intelligent water drop algorithm (IWDA) for global searching and local searching respectively. In addition, B-spline curves are employed for smoothing routes obtained by HIWDA and making it more practical and more feasible for assembly. The result of HIWDA is verified by comparison with other algorithms in simulation on experiments.
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