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278 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 38, NO. 2, MARCH 2008 Robot Path Integration in Manufacturing Processes
 

Summary: 278 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 38, NO. 2, MARCH 2008
Robot Path Integration in Manufacturing Processes:
Genetic Algorithm Versus Ant Colony Optimization
Girma S. Tewolde, Student Member, IEEE, and Weihua Sheng, Member, IEEE
Abstract--Tool path planning for automated manufacturing
processes is a computationally complex task. This paper addresses
the problem of tool path integration in the context of spray-
forming processes. Tool paths for geometry-complicated parts are
generated by partitioning them into individual freeform surfaces,
generating the paths for each partition, and then, finally, inter-
connecting the paths from the different patches so as to minimize
the overall path length. We model the problem as a variant of
the rural postman problem (RPP), which we call open-RPP. In
this paper, we present two different solutions to the open-RPP.
The first solution is based on genetic algorithms and the second
one is based on ant colony optimization. This paper presents and
compares the results from both methods on sample data and on
real-world automotive body parts. We conclude this paper with
remarks about the effectiveness of our implementations and the
pros and cons of each method.

  

Source: Areibi, Shawki M - School of Engineering, University of Guelph

 

Collections: Engineering