The Production Scheduling Model of Optical Components Oriented Ant Colony Optimization Algorithm

被引：0
|
作者：
Wang Juan [1 ]
Wang Jian [1 ]
Tang Dingyong [1 ]
机构：
[1] China Acad Engn Phys, Inst Comp Applicat, Mianyang, Peoples R China
来源：
5TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: SMART STRUCTURES AND MATERIALS IN MANUFACTURING AND TESTING | 2010年 / 7659卷
关键词：
production scheduling; ant colony optimization algorithm; sensation and consciousness;
D O I：
10.1117/12.867726
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
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页数：6
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