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Titlebook: AI 2017: Advances in Artificial Intelligence; 30th Australasian Jo Wei Peng,Damminda Alahakoon,Xiaodong Li Conference proceedings 2017 Spri

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https://doi.org/10.1007/b101591sts of 160 benchmark programs with different degrees of nesting. The results suggest that the new GP approaches perform much better than the two GA-based approaches, and a random search baseline algorithm.
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Front Matterfine spaces such each axis corresponds to a parameter of geometrical description (geometrical deviations and gaps). Our method allows us to express formal relations between n-hulls and specification (or manufacturing) hull which limits the deviations of part. So that the process plan is acceptable,
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Context-Aware Recommender Systems Based on Item-Grain Context Clusteringystems in the vehicle. The disturbances are originated either from the external source to the vehicle or from a specific system within the vehicle which acts on the vehicle. The vehicle and subsystems have to be designed to operate against the expected environment disturbances. Typical external oper
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