Improvement of crossover operator in genetic algorithm for reactive scheduling

Tatsuhiko Sakaguchi, Yoshitaka Tanimizu, Tsuyoshi Miyamae, Yasuhiro Maeda, Keiichi Shirase, Nobuhiro Sugimura

研究成果: Paper査読

抄録

Unscheduled disruptions often occur in the actual manufacturing systems. A systematic scheduling method is therefore required to modify and improve the initial production schedule in order to cope with the unexpected disturbances. The previous researches proposed the Genetic Algorithm based reactive scheduling method that improves the initial production schedule without interrupting the manufacturing processes. This research proposes a new crossover method based on the dominance of gene in order to modify the production schedule faster than the previous method.

本文言語English
ページ427-432
ページ数6
出版ステータスPublished - 2005 12 1
外部発表はい
イベント3rd International Conference on Leading Edge Manufacturing in 21st Century, LEM 2005 - Nagoya, Japan
継続期間: 2005 10 192005 10 22

Other

Other3rd International Conference on Leading Edge Manufacturing in 21st Century, LEM 2005
CountryJapan
CityNagoya
Period05/10/1905/10/22

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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