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Titlebook: Advances in Computational Intelligence; 14th International W Ignacio Rojas,Gonzalo Joya,Andreu Catala Conference proceedings 2017 Springer

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https://doi.org/10.1007/b136409 solve instances of the Permutation Flow Shop Problem (PFSP). The proposed approach has reached . of accuracy in predicting the optimal solution with the parameters found by Irace tuning method. Configurations generated by Irace, even different, have obtained results with the same statistical relevance.
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Trends and Challenges in Enzyme Technology,ones, permitting to introduce in a very simple way all problem constraints, including setup costs and workforce availability. Results show the suitability of the approach, obtaining real time solutions for tasks with up to 50 products.
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Thermodynamics and Black Holes,hat allows us to obtain robust results from its integration. This paper deals with the integration of RNASeq data with microarrays data in order to find breast cancer biomarkers as expressed genes. These integrated data has been used to create a classifier for an early diagnosis of breast cancer.
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Semiclassical Aspects of Black Holes,sition events. The performance of these algorithms is evaluated using a HAR database, resulting in a significant reduction on the number of observations acquired, thus reducing the energy consumption, while maintaining the performance of the system.
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