Guerrero Madrid, José LuisBerlanga de Jesús, AntonioGarcía, JesúsMolina López, José Manuel2014-02-122014-02-122010Andre Ponce de Leon F. de Carvalho. et al. (eds.) (2010) Distributed Computing and Artificial Intelligence: 7th International Conference, (Advances in Intelligent and Soft Computing, 79) Springer, pp. 267- 274.978-3-642-14883-5 (online)978-3-642-14882-8 (print)1867-5662https://hdl.handle.net/10016/18248Proceedings of: Forth International Workshop on User-Centric Technologies and applications (CONTEXTS 2010). Valencia, September 7-10, 2010Actual time series exhibit huge amounts of data which require an unaffordable computational load to be processed, leading to approximate representations to aid these processes. Segmentation processes deal with this issue dividing time series into a certain number of segments and approximating those segments with a basic function. Among the most extended segmentation approaches, piecewise linear representation is highlighted due to its simplicity. This work presents an approach based on the formalization of the segmentation process as a multiobjetive optimization problem and the resolution of that problem with an evolutionary algorithm.application/pdfeng© 2012 Springer-Verlag Berlin HeidelbergSegmentation ProcessesMultiobjetive Optimization ProblemPiecewise Linear Representationconference paperInformática10.1007/978-3-642-14883-5_35open access267274Distributed Computing and Artificial Intelligence: 7th International ConferenceCC/0000012303