Titlebook: Learning and Intelligent Optimization; 4th International Co Christian Blum,Roberto Battiti Conference proceedings 2010 Springer-Verlag Berl

Expediency

A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search Procedure l earliness and tardiness costs. The experimental results with instances from the literature show the efficiency of the proposed hybrid method: it was able to improve the known upper bound for most of the instances tested, in very little computational time.

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松果

ICLE

Acetaminophen

Generative Topographic Mapping for Dimension Reduction in Engineering Designtransforms the high dimensional data space to a low dimensional one. Hence there is no risk of missing out on information relating to any variables during the dimension reduction. The method is demonstrated using the two dimensional Branin function and applied to a problem in wing design.

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Learning of Highly-Filtered Data Manifold Using Spectral Methodsoach is relevant in the general field of manifold learning, as a tool for approximating the response of the models based on many parameters. Our experiments show that the approach is at least competitive with other latent factor prediction methods, and that the precision of prediction grows with the increase in the order of the polynomial basis.