Placement Time Optimization of Chip Mounter by Genetic Algorithms – Search for Optimal Tape Feeder Arrangement –

Takashi Miyajima; Tatsuo Koitabashi

doi:10.20965/jaciii.1998.p0160

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JACIII Vol.2 No.5 pp. 160-163

doi: 10.20965/jaciii.1998.p0160

(1998)

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Placement Time Optimization of Chip Mounter by Genetic Algorithms – Search for Optimal Tape Feeder Arrangement –

Takashi Miyajima and Tatsuo Koitabashi

Industrial Research Institute of Nagano Prefecture
188 Wakasato, Nagano-shi, Nagano 380-0922, Japan

Received:

May 6, 1998

Accepted:

September 24, 1998

Published:

October 20, 1998

Keywords:

Genetic Algorithms, Optimization, Chip Mounter, Placement Time

Abstract

Genetic algorithms (GAs) are applied to searching for tape feeder arrangement to optimize placement time of chip mounters where a combination of parts placement sequence and tape feeder arrangement affect placement time under constraints. Compared to general GAs, our improved tape feeder arrangement GA using a new genetic operator called rotation was confirmed effective for multihead chip mounters handling several parts at once.

Cite this article as:

T. Miyajima and T. Koitabashi, “Placement Time Optimization of Chip Mounter by Genetic Algorithms – Search for Optimal Tape Feeder Arrangement –,” J. Adv. Comput. Intell. Intell. Inform., Vol.2, No.5, pp. 160-163, 1998.

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