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Proceedings Paper

The production scheduling model of optical components oriented ant colony optimization algorithm
Author(s): Juan Wang; Jian Wang; Dingyong Tang
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Paper Abstract

Optical components production belongs to the typical jobbing work, and its scheduling problem is a significant research in advanced optical manufacture technique. According to the manufacturing technology for high precision optical components, the production scheduling model which is combined workshop scheduling theory with improved Ant Colony Algorithm (ACA) is introduced in this paper. In order to reduce the inherent deficiency of traditional ant algorithm for local optimal solution and stagnation, an improved algorithm which can simulate real ant colony sensation and consciousness may enhance the efficiency of basic ACA. The simulation experiment shows the robustness for this improved algorithm.

Paper Details

Date Published: 12 October 2010
PDF: 6 pages
Proc. SPIE 7659, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials in Manufacturing and Testing, 76590S (12 October 2010); doi: 10.1117/12.867726
Show Author Affiliations
Juan Wang, Institute of Computer Application (China)
Jian Wang, Institute of Computer Application (China)
Southwest Jiaotong Univ. (China)
Dingyong Tang, Institute of Computer Application (China)
Southwest Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 7659:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials in Manufacturing and Testing
Xiangang Luo; Georg von Freymann, Editor(s)

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