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source: branches/OKBJavaConnector/ECJClient/src/ec/app/tutorial3/OurSelection.java @ 7611

Last change on this file since 7611 was 6152, checked in by bfarka, 14 years ago

added ecj and custom statistics to communicate with the okb services #1441

File size: 3.0 KB
Line 
1/*
2  Copyright 2006 by Sean Luke
3  Licensed under the Academic Free License version 3.0
4  See the file "LICENSE" for more information
5*/
6
7
8package ec.app.tutorial3;
9import ec.*;
10import ec.util.*;
11
12public class OurSelection extends SelectionMethod
13    {
14    // We have to specify a default base
15    public static final String P_OURSELECTION = "our-selection";
16    public Parameter defaultBase() { return new Parameter(P_OURSELECTION); }
17
18    public static final String P_MIDDLEPROBABILITY = "middle-probability";  // our parameter name
19
20    public double middleProbability;
21
22    public void setup(final EvolutionState state, final Parameter base)
23        {
24        super.setup(state,base);   // always call super.setup(...) first if it exists!
25
26        Parameter def = defaultBase();
27
28        // gets a double between min (0.0) and max (1.0), from the parameter
29        // database, returning a value of min-1 (-1.0) if the parameter doesn't exist or was
30        // outside this range.
31        middleProbability = state.parameters.getDoubleWithMax(base.push(P_MIDDLEPROBABILITY),
32            def.push(P_MIDDLEPROBABILITY),0.0,1.0);
33        if (middleProbability < 0.0)
34            state.output.fatal("Middle-Probability must be between 0.0 and 1.0",
35                base.push(P_MIDDLEPROBABILITY),def.push(P_MIDDLEPROBABILITY));
36        }
37
38    public int produce(final int subpopulation, final EvolutionState state, final int thread)
39        {
40        //toss a coin
41        if (state.random[thread].nextBoolean(middleProbability))
42            {
43            //pick three individuals, return the middle one
44            Individual[] inds = state.population.subpops[subpopulation].individuals;
45            int one = state.random[thread].nextInt(inds.length);
46            int two = state.random[thread].nextInt(inds.length);
47            int three = state.random[thread].nextInt(inds.length);
48            // generally the betterThan(...) method imposes an ordering,
49            // so you shouldn't see any cycles here except in very unusual domains...
50            if (inds[two].fitness.betterThan(inds[one].fitness))
51                {
52                if (inds[three].fitness.betterThan(inds[two].fitness)) //  1 < 2 < 3
53                    return two;
54                else if (inds[three].fitness.betterThan(inds[one].fitness)) //  1 < 3 < 2
55                    return three;
56                else //  3 < 1 < 2
57                    return one;
58                }
59            else if (inds[three].fitness.betterThan(inds[one].fitness)) //  2 < 1 < 3
60                return one;
61            else if (inds[three].fitness.betterThan(inds[two].fitness)) //  2 < 3 < 1
62                return three;
63            else //  3 < 2 < 1
64                return two;
65            }
66        else        //select a random individual's index
67            {
68            return state.random[thread].nextInt(
69                state.population.subpops[subpopulation].individuals.length);
70            }
71        }
72    }  // close the class
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