The Hybrid Approach of LCO and SA to Solve Job-shop Scheduling Problem

Author:

Tamura Yasumasa,Suzuki Ikuo,Yamamoto Masahito,Furukawa Masashi

Publisher

The Institute of Systems, Control and Information Engineers

Reference7 articles.

1. [1] M. R. Garey and D. S. Johnson: Computers and Intractability - A Guide to the Theory of NP-Completeness, Freeman and Company (1979)

2. [2] R. Nakano and T. Yamada: Conventional genetic algorithm for job shop problems; Proceedings of The Fourth International Conference on Genetic Algorithms, pp. 474-479 (1991)

3. [3] P. J. M. van Laarhoven, E. H. L. Aarts and J. K. Lenstra: Job shop scheduling by simulated annealing; Operations Research, INFORMS, p. 113-125 (1992)

4. [4] M. Furukawa, M. Watanabe and Y. Matsumura: Lcoal Clustering Organization (LCO) solving a large-scale TSP; Journal of Robotics and Mechatronics, Vol. 17, No. 5, p. 560 (2005)

5. [5] M. Furukawa, Y. Matsumura and M. Watanabe: Development of local clustering organization applied to job-shop scheduling problem; Journal of the Japan Society for Precision Engineering (CD-ROM), Vol. 72, No. 7, p. 867-872 (2006)

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