The production scheduling model of optical components oriented ant colony optimization algorithm

Juan Wang; Jian Wang; Dingyong Tang

doi:10.1117/12.867726

12 October 2010 The production scheduling model of optical components oriented ant colony optimization algorithm

Juan Wang, Jian Wang, Dingyong Tang

Proceedings Volume 7659, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials in Manufacturing and Testing; 76590S (2010) https://doi.org/10.1117/12.867726
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

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.

Citation Download Citation

Juan Wang, Jian Wang, and Dingyong Tang "The production scheduling model of optical components oriented ant colony optimization algorithm", 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); https://doi.org/10.1117/12.867726

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