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JACIII Vol.2 No.5 pp. 160-163
doi: 10.20965/jaciii.1998.p0160
(1998)

Paper:

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:
Takashi Miyajima and Tatsuo 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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