Using a parallel genetic algorithm to design vibratory bowl feeders

Authors:
Andrea Edwards
Affiliations:
Xavier University of Louisiana, New Orleans, Louisiana
Venue:
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Year:
2004

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Abstract

In this paper I describe a genetic algorithm approach to the automated design of vibratory bowl part feeders. This genetic algorithm approach runs on a parallel computer and gives near-optimal designs in much less time than the previously reported optimal, brute-force search methods. In this paper I present results showing these better vibratory bowl feeder designs.