Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection. Issue 9 (1st June 2015)

• Record Type: Journal Article
• Authors: Kimovski, Dragi; Ortega, Julio; Ortiz, Andrés; Baños, Raúl
• Is Part Of: Expert systems with applications. Volume 42:Issue 9(2015)
• Page Start: 4239
• Page End: 4252
• Publication Date: 2015-06-01
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2015.01.061
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st035">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0335">Multiobjective unsupervised feature selection with many decision variables is tackled.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0340">EEG signals for Brain–Computer Interface (BCI) applications are used as benchmarks.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0345">Cooperative evolutionary algorithms for multiobjective optimization are given.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0350">Parallel implementations obtain quality results in terms of hypervolume and speedup.</p> </list-item> <list-item id="u0025"> <label></label> <p id="p0355">Superlinear speedups are justified by adjusting models to experimental results.</p> </list-item> </list> </p> </sec> </abstract>