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.
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