DocumentCode :
1981740
Title :
Application of ant colony optimization to inspection planning
Author :
Schmitt, Robert ; Zheng, Hanqing ; Zhao, Xiongfei ; König, Niels ; Coelho, Raphael Rocha
Author_Institution :
Lab. for Machine Tools & Production Eng., RWTH Aachen Univ., Aachen
fYear :
2009
fDate :
11-13 May 2009
Firstpage :
71
Lastpage :
75
Abstract :
Within this paper the application of an ant colony optimization (ACO) algorithm to inspection planning is presented. Since inspection planning is a time consuming task, optimizing these activities plays a major role in the quality inspection field. In this paper the extraction procedures of local inspection path planning (LIPP) and measurement device selection (MDS) to travelling salesman problem (TSP) and subset problem are presented respectively. An ACO algorithm based on Max-Min Ant System (MMAS) is presented for solving the problems. Experiment on industrial workpiece shows the applicability of ACO to inspection planning.
Keywords :
inspection; minimax techniques; path planning; production planning; ant colony optimization; inspection planning; local inspection path planning; max-min ant system; measurement device selection; travelling salesman problem; Ant colony optimization; Artificial intelligence; Continuous production; Cost function; Inspection; Joining processes; Path planning; Production planning; Production systems; Technology planning; Ant colony optimization; Inspection path planning; Inspection planning; Measurement device selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-3819-8
Electronic_ISBN :
978-1-4244-3820-4
Type :
conf
DOI :
10.1109/CIMSA.2009.5069921
Filename :
5069921
Link To Document :
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