/*********************************************************************** This file is part of KEEL-software, the Data Mining tool for regression, classification, clustering, pattern mining and so on. Copyright (C) 2004-2010 F. Herrera (herrera@decsai.ugr.es) L. S�nchez (luciano@uniovi.es) J. Alcal�-Fdez (jalcala@decsai.ugr.es) S. Garc�a (sglopez@ujaen.es) A. Fern�ndez (alberto.fernandez@ujaen.es) J. Luengo (julianlm@decsai.ugr.es) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/ **********************************************************************/ /** * <p> * @author Written by Jaume Bacardit (La Salle, Ram�n Llull University - Barcelona) 28/03/2004 * @author Modified by Xavi Sol� (La Salle, Ram�n Llull University - Barcelona) 23/12/2008 * @version 1.1 * @since JDK1.2 * </p> */ package keel.Algorithms.Genetic_Rule_Learning.GAssist; import keel.Algorithms.Genetic_Rule_Learning.Globals.*; public class Timers { /** * <p> * Manages timers: flags and parameters that are triggered at * certain iterations * </p> */ public static boolean runTimers(int iteration, Classifier[] population) { Globals_ADI.nextIteration(); boolean res1 = Globals_MDL.newIteration(iteration, population); boolean res2 = timerBloat(iteration); if (res1 || res2) { return true; } return false; } public static void runOutputTimers(int iteration , Classifier[] population) { Globals_DefaultC.checkNichingStatus(iteration, population); } static boolean timerBloat(int _iteration) { Parameters.doRuleDeletion = (_iteration >= Parameters.iterationRuleDeletion); Parameters.doHierarchicalSelection = (_iteration >= Parameters.iterationHierarchicalSelection); if (_iteration == Parameters.numIterations - 1) { Parameters.ruleDeletionMinRules = 1; return true; } if (_iteration == Parameters.iterationRuleDeletion) { return true; } return false; } }