CLinearSelection.java
/*
* @cond LICENSE
* ######################################################################################
* # LGPL License #
* # #
* # This file is part of the LightJason AgentSpeak(L++) #
* # Copyright (c) 2015-19, LightJason (info@lightjason.org) #
* # This program 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 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 Lesser General Public License for more details. #
* # #
* # You should have received a copy of the GNU Lesser General Public License #
* # along with this program. If not, see http://www.gnu.org/licenses/ #
* ######################################################################################
* @endcond
*/
package org.lightjason.agentspeak.action.builtin.math.statistic;
import org.lightjason.agentspeak.language.ITerm;
import javax.annotation.Nonnull;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.Stream;
/**
* action to define a exponential fitness-proportinate-selection mechanism.
* The action defines a fitness-proportinate-selection based on a linear
* distribution, the first and second argument must be a list, the first
* list contains elements, the second list contains numeric values for defining
* the weights
*
* {@code S = math/statistic/linearselection( ["a","b","c","d"], [0.5, 0.7, 0.9, 3] );}
* @see https://en.wikipedia.org/wiki/Fitness_proportionate_selection
*/
public final class CLinearSelection extends ISelection
{
/**
* serial id
*/
private static final long serialVersionUID = 4358925095494861120L;
@Nonnull
@Override
protected final List<Double> weight( @Nonnull final List<?> p_items, @Nonnull final Stream<Double> p_values, @Nonnull final List<ITerm> p_argument )
{
return p_values.collect( Collectors.toList() );
}
}