Genetic algorithm approach to multi-objective scheduling problem in plastics forming plant-Reference-Cited by-同舟云学术

Genetic algorithm approach to multi-objective scheduling problem in plastics forming plant

Published:1998 Issue: Volume: Page:435-444
ISSN:
Container-title:Advances in Production Management Systems
language:
Short-container-title:

Author:

Tamaki Hisashi,Mukai Tomohiro,Kawakami Kenji,Araki Mituhiko

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-0-387-35304-3_38

Reference7 articles.

1. Fonseca, C. M. and Fleming, P. J. (1995), An overview of evolutionary algorithms in multiobjective optimization, Evolutionary Computation, 3 (1), pp. 1–16, MIT press.

2. Goldberg, D. E. (1989), Genetic Algorithms in Search, Optimization and Machine Learning,Addison-Wesley.

3. Reeves, C. R. (1993), Modern Heuristic Techniques for Combinatorial Problems,Blackwell Scientific.

4. Tamaki, H., Hasegawa, Y., Kozasa, J. and Araki, M. (1993), Scheduling in Plastics Forming Plant: A Binary Representation Approach, Proc. of the 32nd IEEE Conf. on Decision and Control, pp. 3845–3850.

5. Tamaki, H., Taguchi, K. and Araki, M. (1995a), Application of Meta-Heuristics to Scheduling Problems in Plastics Forming Plant, Proc. of the 7th IFAC/IFORS/IMACS Symp. on Large Scale Systems, pp. 409–414.

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