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Diffstat (limited to 'nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java')
-rw-r--r-- | nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java new file mode 100644 index 000000000..f8f283bf1 --- /dev/null +++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java @@ -0,0 +1,45 @@ +/** + * Description: provide the information for goodness evaluation of a target + * + * Author Create/Modi Note + * Xiaofeng Xie Mar 1, 2003 + * Xiaofeng Xie May 3, 2004 Add grain value + * Xiaofeng Xie May 11, 2004 Add crowd distance + * + * This library is free software; you can redistribute it and/or + * modify it under the terms of the GNU Lesser General Public + * License as published by the Free Software Foundation; either + * version 2.1 of the License, or (at your option) any later version. + * + * This library 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 + * Lesser General Public License for more details. + * + * Please acknowledge the author(s) if you use this code in any way. + */ + +package net.adaptivebox.space; + +import net.adaptivebox.global.BasicBound; + +public class DesignDim { + // To discrete space with the given step. For example, for an integer variable, + // The grain value can be set as 1. + public double grain = 0; + public BasicBound paramBound = new BasicBound(); // the range of a parameter + + public boolean isDiscrete() { + return grain != 0; + } + + public double getGrainedValue(double value) { + if (grain == 0) { + return value; + } else if (grain > 0) { + return paramBound.minValue + Math.rint((value - paramBound.minValue) / grain) * grain; + } else { + return paramBound.maxValue - Math.rint((paramBound.maxValue - value) / grain) * grain; + } + } +} |