Title :
A genetic algorithm (GA) solution of inspection path planning system for multiple tasks inspection on co-ordinate measuring machine (CMM)
Author :
Lu, C.G. ; Morton, D. ; Wang, Z. ; Myler, P. ; Wu, M.H.
Author_Institution :
Bolton Inst. of Higher Educ., Bolton, UK
Abstract :
The use of a co-ordinate measuring machine (CMM) is wide spread throughout the manufacturing industry. In spite of this, generative inspection planning for a CMM, especially by using artificial intelligence (AI) techniques, is not well developed. This paper presents an approach of using a genetic algorithm technique to carry out the inspection path planning for a CMM, in a multi-component inspection application. This path planning system applies genetic algorithm theory to establish an optimiser and to develop a learning function
Keywords :
genetic algorithms; inspection; manufacturing industries; path planning; production control; co-ordinate measuring machine; genetic algorithm; inspection path planning; learning function; manufacturing industry; multi-component inspection; multiple tasks inspection;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. GALESIA. First International Conference on (Conf. Publ. No. 414)
Conference_Location :
Sheffield
Print_ISBN :
0-85296-650-4
DOI :
10.1049/cp:19951088
