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The idea is derived from the behavior of a special ant species called \u2018Leafcutter Ants', they spend much of their time for cutting leaves to make fertilizer to gardens in which they grow the fungi that they eat. This behavior is incorporated with the general ACO algorithm to propose a novel feature selection method called \u2018Leafcutter Ant Colony Optimization' (LACO) algorithm. The LACO has been applied to select the relevant features for digital mammograms and their corresponding classification performance is studied and compared.<\/p>","DOI":"10.4018\/ijamc.2014070103","type":"journal-article","created":{"date-parts":[[2014,10,21]],"date-time":"2014-10-21T14:50:13Z","timestamp":1413903013000},"page":"23-43","source":"Crossref","is-referenced-by-count":2,"title":["Leafcutter Ant Colony Optimization Algorithm for Feature Subset Selection on Classifying Digital Mammograms"],"prefix":"10.4018","volume":"5","author":[{"given":"Abubacker Kaja","family":"Mohideen","sequence":"first","affiliation":[{"name":"Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore, Tamil Nadu, India"}]},{"given":"Kuttiannan","family":"Thangavel","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Periyar University, Salem, Tamil Nadu, India"}]}],"member":"2432","reference":[{"key":"ijamc.2014070103-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.08.022"},{"key":"ijamc.2014070103-1","first-page":"53","article-title":"Feature subset selection using ant colony optimization.","volume":"2","author":"A.Ani","year":"2005","journal-title":"International Journal of Computational Intelligence"},{"key":"ijamc.2014070103-2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.198.1.8539365"},{"key":"ijamc.2014070103-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2004.09.044"},{"key":"ijamc.2014070103-4","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50012-X"},{"key":"ijamc.2014070103-5","doi-asserted-by":"publisher","DOI":"10.1118\/1.598389"},{"key":"ijamc.2014070103-6","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/42\/3\/008"},{"issue":"2","key":"ijamc.2014070103-7","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3233\/IDA-2012-0517","article-title":"An improved particle swarm optimization for feature selection.","volume":"16","author":"L. 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