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2013 (Vol. 5, Issue: 04)
Article Information:

Hole Machining Path Planning Optimization Based on Dynamic Tabu Artificial Bee Colony Algorithm

Wen-Qi Zhong, Yuan-Biao Zhang, Xiao-Yun Li, Chun-Sheng Zheng, Yan-Lan Zhang
Corresponding Author:  Wen-Qi Zhong 

Key words:  Dynamic tabu artificial bee colony algorithm, hole machining path planning optimization, the traveling salesman problem with precedence constraints, , , ,
Vol. 5 , (04): 1454-1460
Submitted Accepted Published
August 17, 2012 September 17, 2012 February 01, 2013
Abstract:

By setting up the 'point milling process-TSPPC' model, this study firstly is to further discreteness the point milling process and then successfully transforms it into a traveling salesman problem with precedence constraints through setting the tabu list to record manufacturing procedures. Based on characteristics of the constraints, the tabu list is used to further expand the Bee Colony algorithm and get the Dynamic Tabu Artificial Bee Colony algorithm (DTABC-algorithm) which can dynamically update the solution space. The DTABC-algorithm is used to solve the 'point milling process-TSPWTR' model. By testing, not only the 'point milling process-TSPPC' model can effectively simplify the problem of point milling process, but also the DTABC-algorithm can show outstanding properties through the solving process.
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  Cite this Reference:
Wen-Qi Zhong, Yuan-Biao Zhang, Xiao-Yun Li, Chun-Sheng Zheng, Yan-Lan Zhang, 2013. Hole Machining Path Planning Optimization Based on Dynamic Tabu Artificial Bee Colony Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 5(04): 1454-1460.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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