A Solution Method of Job-shop Scheduling Problems by the Idle Time Shortening Type Genetic Algorithm

Author:

Ida Kenichi1,Osawa Akira1

Affiliation:

1. Graduate School of Engineering, Maebashi Institute of Technology

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Reference13 articles.

1. (2) K. Ida and A. Oosawa: “Job-shop Scheduling Problem Using Genetic Algorithm”, Proc. of the 33rd International Conference on Computers and Industrial Engineering, No. CIE732, CD-ROM, pp. 1-6 (2004)

2. (4) K. Ida and A. Osawa: “A Genetic Algorithm with Algorithm Shortening Idle Time for Job Shop Scheduling Problem”, Proc. of SCIS & ISIS 2004, No. THP-7-2, CD-ROM, pp. 1-5 (2004)

3. (5) T. Yamada and R. Nakano: “Job-Shop Scheduling by Genetic Local Search”, IPSJ, Vol. 38, No. 6, pp. 1126-1138 (1997-6) (in Japanese)

4. (6) K. Ida, M. Watanabe, and M. Gen: “A Genetic Algorithm with Modified Crossover Operator and Search Area Adapatation for Job-shop Scheduling problem”, Proc. of the 30th International Conference on Computers and Industiral Endineering, Vol. 1, pp. 389-394 (2002)

5. (7) M. Watanebe, K. Ida, and M. Gen: “Active Solution and Active Solution Space on Job-shop Scheduling Problem”, IEEJ Trans. EIS, Vol. 124, No. 8, pp. 1626-1634 (2004-8) (in Japanese)

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