Genetic Algorithm Application to a Scheduling Problem in the Plastic Injection Molding Process / プラスチック射出成型工程スケジューリング問題に対する遺伝的アルゴリズム
- Resource Type
- Journal Article
- Authors
- Hidekatsu TOKUMARU; Ikuko NISHIKAWA; Motoko HORI; Yuuji AZUMA; 堀 慕子; 得丸 英勝; 東 祐士; 西川 郁子
- Source
- システム制御情報学会論文誌 / Transactions of the Institute of Systems, Control and Information Engineers. 1998, 11(12):680
- Subject
- decoding
genetic algorithm
injection molding
optimization problem
scheduling
- Language
- Japanese
- ISSN
- 1342-5668
2185-811X
Genetic Algorithm is applied to a scheduling problem in the plastic injection molding process. The problem is simplified by combinig the jobs with the same die. Total lateness to the due date is taken as an evaluation function and rather sufficient solution is obtained by GA. Moreover, a modified decoding procedure is proposed to optimize the second objective, without decreasing the original evaluation value. Simulation with real data in an industry shows an effectiveness of the proposed method.