Study on Holes Machining Path Planning Based on Ant Colony Optimization

Abstract:

Article Preview

In order to get a feasible better machining path for holes machining, which could be used to the NC (Numerical Control) programming, the algorithm for Holes Machining Path Planning (HMPP) based on Ant colony optimization (ACO) were designed. The value of the algorithm parameters were determined by computer simulation experiment. The Roulette Wheel Approach (RWA) was used by each ant to select the next milling point, and only global pheromone updating was adopted. Finally, an example was given, and the approach was proved to be efficient and practical.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

1073-1076

DOI:

10.4028/www.scientific.net/AMM.58-60.1073

Citation:

F. H. Zeng and L. H. Zhou, "Study on Holes Machining Path Planning Based on Ant Colony Optimization", Applied Mechanics and Materials, Vols. 58-60, pp. 1073-1076, 2011

Online since:

June 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.