01 /*
02 * Java Genetic Algorithm Library (jenetics-3.7.0).
03 * Copyright (c) 2007-2016 Franz Wilhelmstötter
04 *
05 * Licensed under the Apache License, Version 2.0 (the "License");
06 * you may not use this file except in compliance with the License.
07 * You may obtain a copy of the License at
08 *
09 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 *
17 * Author:
18 * Franz Wilhelmstötter (franz.wilhelmstoetter@gmx.at)
19 */
20 package org.jenetics.tool.evaluation;
21
22 import static org.jenetics.tool.evaluation.engines.KNAPSACK;
23
24 import java.util.function.Supplier;
25 import java.util.stream.IntStream;
26
27 import org.jenetics.internal.util.Args;
28
29 import org.jenetics.BitGene;
30 import org.jenetics.engine.limit;
31 import org.jenetics.tool.trial.Params;
32 import org.jenetics.tool.trial.TrialMeter;
33 import org.jenetics.util.ISeq;
34
35 /**
36 * @author <a href="mailto:franz.wilhelmstoetter@gmx.at">Franz Wilhelmstötter</a>
37 * @version 3.7
38 * @since 3.7
39 */
40 public class KnapsackFitnessConvergence {
41
42 private static final Params<Double> PARAMS = Params.of(
43 "Convergence epsilon",
44 IntStream.rangeClosed(1, 10)
45 .mapToObj(i -> Math.pow(10, -i))
46 .collect(ISeq.toISeq())
47 );
48
49 private static final Supplier<TrialMeter<Double>>
50 TRIAL_METER = () -> TrialMeter.of(
51 "Fitness convergence",
52 "Create fitness convergence performance measures",
53 PARAMS,
54 "Generation",
55 "Fitness",
56 "Runtime"
57 );
58
59 public static void main(final String[] args) throws InterruptedException {
60 final Args arguments = Args.of(args);
61 final ISeq<Integer> sizes = arguments.intArgs("params");
62
63 final Runner<Double, BitGene, Double> runner = Runner.of(
64 fitness -> KNAPSACK,
65 epsilon -> limit.byFitnessConvergence(sizes.get(0), sizes.get(1), epsilon),
66 TRIAL_METER,
67 args
68 );
69
70 runner.start();
71 runner.join();
72 }
73
74 }
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