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
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.
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