Dynamical memetization in coral reef optimization algorithms for optimal time series approximation

The huge amount of data chronologically collected in short periods of time by different devices and technologies is an important challenge in the analysis of times series. This problem has produced the development of new automatic techniques to reduce the number of points in the resulting time serie...

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Veröffentlicht in:	Progress in artificial intelligence Jg. 8; H. 2; S. 253 - 262
Hauptverfasser:	Durán-Rosal, Antonio M., Gutiérrez, Pedro A., Salcedo-Sanz, Sancho, Hervás-Martínez, César
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2019 Springer Nature B.V
Schlagworte:	Algorithms Approximation Artificial Intelligence Cardiology Computational Intelligence Computer Imaging Computer Science Control Coral reefs Data Mining and Knowledge Discovery Mathematical analysis Mechatronics Natural Language Processing (NLP) Oceanography Optimization Pattern Recognition and Graphics Regular Paper Robotics Time series Vision Coral reefs optimization Memetic algorithms Segmentation Time series size reduction Dynamic strategy
ISSN:	2192-6352, 2192-6360
Online-Zugang:	Volltext
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