source: src/main/java/agents/anac/y2010/Southampton/analysis/BidSpaceReal.java@ 84

Last change on this file since 84 was 1, checked in by Wouter Pasman, 6 years ago

Initial import : Genius 9.0.0
File size: 3.9 KB
Line 
1package agents.anac.y2010.Southampton.analysis;
2
3import java.util.ArrayList;
4
5public class BidSpaceReal {
6
7 /**
8 * @param continuousEvaluationFunctions
9 * @param continuousWeights
10 * @return
11 */
12 public static ArrayList<ContinuousSection> getContinuousCombinations(ArrayList<ContinuousEvaluationFunction> continuousEvaluationFunctions,
13 ArrayList<Double> continuousWeights) {
14 ArrayList<ContinuousSection> continuousSections = new ArrayList<ContinuousSection>();
15
16 for (int[] combination : getContinuousCombinationValues(continuousEvaluationFunctions)) {
17 continuousSections.add(getContinuousSection(continuousEvaluationFunctions, continuousWeights, combination));
18 }
19
20 return continuousSections;
21 }
22
23 /**
24 * @param continuousEvaluationFunctions
25 * @param continuousWeights
26 * @param sectionNos
27 * @return
28 */
29 private static ContinuousSection getContinuousSection(ArrayList<ContinuousEvaluationFunction> continuousEvaluationFunctions,
30 ArrayList<Double> continuousWeights, int[] sectionNos) {
31 double[] minBounds = new double[continuousEvaluationFunctions.size()];
32 double[] maxBounds = new double[continuousEvaluationFunctions.size()];
33 double[] normal = new double[continuousEvaluationFunctions.size()];
34 double[] knownPoint1 = new double[continuousEvaluationFunctions.size()];
35 double[] knownPoint2 = new double[continuousEvaluationFunctions.size()];
36 double evalKnownPoint1 = 0;
37 double evalKnownPoint2 = 0;
38 int nonZeroWeightDimension = -1;
39 for (int i = 0; i < continuousEvaluationFunctions.size(); i++) {
40 if (continuousWeights.get(i) != 0) {
41 nonZeroWeightDimension = i;
42 break;
43 }
44 }
45 for (int i = 0; i < continuousEvaluationFunctions.size(); i++) {
46 double[] tmp = getSectionDimension(continuousEvaluationFunctions.get(i), continuousWeights.get(i), sectionNos[i]);
47 minBounds[i] += tmp[0];
48 maxBounds[i] += tmp[1];
49 normal[i] = tmp[2];
50 if (i == nonZeroWeightDimension) {
51 knownPoint1[i] = tmp[0];
52 evalKnownPoint1 += tmp[3];
53 knownPoint2[i] = tmp[1];
54 evalKnownPoint2 += tmp[4];
55 } else {
56 knownPoint1[i] = tmp[0];
57 evalKnownPoint1 += tmp[3];
58 knownPoint2[i] = tmp[0];
59 evalKnownPoint2 += tmp[3];
60 }
61 }
62
63 ContinuousSection continuousSection = new ContinuousSection();
64 continuousSection.setMinBounds(minBounds);
65 continuousSection.setMaxBounds(maxBounds);
66 continuousSection.setNormal(normal);
67 continuousSection.setKnownPoint1(knownPoint1, evalKnownPoint1);
68 continuousSection.setKnownPoint2(knownPoint2, evalKnownPoint2);
69 return continuousSection;
70 }
71
72 /**
73 * @param continuousEvaluationFunction
74 * @param continuousWeight
75 * @param sectionNo
76 * @return
77 */
78 private static double[] getSectionDimension(ContinuousEvaluationFunction continuousEvaluationFunction, double continuousWeight, int sectionNo) {
79
80 double normalPart;
81 double lowerPart;
82 double upperPart;
83
84 ContinuousEvaluationSection section = continuousEvaluationFunction.getSection(sectionNo);
85 lowerPart = section.getLowerBound();
86 upperPart = section.getUpperBound();
87 normalPart = section.getNormal(continuousWeight);
88
89 double[] result = new double[5];
90 result[0] = lowerPart;
91 result[1] = upperPart;
92 result[2] = normalPart;
93 result[3] = section.getEvalLowerBound() * continuousWeight;
94 result[4] = section.getEvalUpperBound() * continuousWeight;
95 return result;
96 }
97
98 /**
99 * @param continuousEvaluationFunctions
100 * @return
101 */
102 private static ArrayList<int[]> getContinuousCombinationValues(ArrayList<ContinuousEvaluationFunction> continuousEvaluationFunctions) {
103 int[] space = new int[continuousEvaluationFunctions.size() + 1];
104 space[0] = 1;
105 int i = 0;
106
107 // Work out how many 'sections' there are
108 for (ContinuousEvaluationFunction continuousEvaluationFunction : continuousEvaluationFunctions) {
109 i++;
110 space[i] = space[i - 1] * continuousEvaluationFunction.getSectionCount();
111 }
112
113 // Work out what the combinations of spaces are
114 return BidSpace.getCombinationValues(space);
115 }
116
117}
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