A multi-objective memetic algorithm for the linguistic summarization of time series
Rita Castillo-Ortega, Nicolás Marı́n, Daniel Sánchez, Andrea G. B. Tettamanzi · 2011
Time series in time domains with a hierarchical structure may be summarized by means of sets of quantified fuzzy sentences of the form "Q of D is A", where Q is a quantifier, D is a linguistic time interval, and A is a linguistic value. Finding concise and accurate summaries that cover the whole time domain is a hard optimization problem, that we solve by proposing a multi-objective memetic algorithm based on NSGA-II with the addition of a number of intelligent mutation operators that apply heuristics to improve solutions.