blob: 2f36ce1cd521585fe2d2948472ad5c20d3727092 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
|
package jcgp.backend.tests;
import static org.junit.Assert.assertTrue;
import jcgp.backend.function.SymbolicRegressionFunctions;
import jcgp.backend.population.Chromosome;
import jcgp.backend.population.Population;
import jcgp.backend.resources.ModifiableResources;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;
/**
*
* Tests which cover the behaviour specified for a population.
*
* - It should be possible to iterate through all the chromosomes in a population.
* - When constructed with no arguments, it should generate populationSize
* random chromosomes, distributed according to the EA parameters.
* - If one or more chromosomes are passed into the constructor, it should use them
* as parents to create the rest of the population.
*
*
* @author Eduardo Pedroni
*
*/
public class PopulationTests {
private Population population;
private static ModifiableResources resources;
@BeforeClass
public static void setUpBeforeClass() throws Exception {
resources = new ModifiableResources();
resources.setFunctionSet(new SymbolicRegressionFunctions());
}
@Before
public void setUp() throws Exception {
population = new Population(resources);
}
@Test
public void defaultPopulationTest() {
// check that the constructor really generates populationSize chromosomes when none is given
int chromosomes = 0;
while (true) {
try {
population.getChromosome(chromosomes);
} catch (IndexOutOfBoundsException e) {
break;
}
chromosomes++;
}
assertTrue("Incorrect number of chromosomes generated.", chromosomes == resources.populationSize());
}
@Test
public void preinitialisedChromosomeTest() {
// the original chromosome that will be cloned
Chromosome oc = new Chromosome(resources);
// initialise a population with a copy of it
population = new Population(oc, resources);
// check that the first parent chromosome is identical to, but not the same instance as, the one given
assertTrue("Incorrect chromosome in population.", population.getChromosome(0).compareGenesTo(oc) && population.getChromosome(0) != oc);
}
}
|