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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, 1998Accepted:September 24, 1998Published: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.Data files:
