- Timestamp:
- 06/29/17 23:04:03 (8 years ago)
- File:
-
- 1 edited
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trunk/sources/HeuristicLab.Tests/HeuristicLab-3.3/Samples/PsoSchwefelSampleTest.cs
r15092 r15096 52 52 SamplesUtils.RunAlgorithm(pso); 53 53 if (Environment.Is64BitProcess) { 54 Assert.AreEqual( 118.43833503632464, SamplesUtils.GetDoubleResult(pso, "BestQuality"));55 Assert.AreEqual(1 18.43935663125784, SamplesUtils.GetDoubleResult(pso, "CurrentAverageQuality"));56 Assert.AreEqual( 118.44721627137812, SamplesUtils.GetDoubleResult(pso, "CurrentWorstQuality"));57 Assert.AreEqual( 1000, SamplesUtils.GetIntResult(pso, "Iterations"));54 Assert.AreEqual(2.8334909529803554E-08, SamplesUtils.GetDoubleResult(pso, "BestQuality")); 55 Assert.AreEqual(128.08680460446624, SamplesUtils.GetDoubleResult(pso, "CurrentAverageQuality")); 56 Assert.AreEqual(713.67728101375587, SamplesUtils.GetDoubleResult(pso, "CurrentWorstQuality")); 57 Assert.AreEqual(200, SamplesUtils.GetIntResult(pso, "Iterations")); 58 58 } else { 59 Assert.AreEqual( 118.4383350363247, SamplesUtils.GetDoubleResult(pso, "BestQuality"));60 Assert.AreEqual(1 18.43935663125787, SamplesUtils.GetDoubleResult(pso, "CurrentAverageQuality"));61 Assert.AreEqual( 118.44721627137824, SamplesUtils.GetDoubleResult(pso, "CurrentWorstQuality"));62 Assert.AreEqual( 1000, SamplesUtils.GetIntResult(pso, "Iterations"));59 Assert.AreEqual(2.8334909529803554E-08, SamplesUtils.GetDoubleResult(pso, "BestQuality")); 60 Assert.AreEqual(128.08680460446624, SamplesUtils.GetDoubleResult(pso, "CurrentAverageQuality")); 61 Assert.AreEqual(713.67728101375587, SamplesUtils.GetDoubleResult(pso, "CurrentWorstQuality")); 62 Assert.AreEqual(200, SamplesUtils.GetIntResult(pso, "Iterations")); 63 63 } 64 64 } … … 80 80 pso.Description = "A particle swarm optimization algorithm which solves the 2-dimensional Schwefel test function (based on the description in Pedersen, M.E.H. (2010). PhD thesis. University of Southampton)"; 81 81 pso.Problem = problem; 82 pso.Inertia.Value = 1 0;83 pso.MaxIterations.Value = 1000;84 pso.NeighborBestAttraction.Value = 0.5;85 pso.PersonalBestAttraction.Value = -0.01;86 pso.SwarmSize.Value = 50;82 pso.Inertia.Value = 1.1; 83 pso.MaxIterations.Value = 200; 84 pso.NeighborBestAttraction.Value = 1; 85 pso.PersonalBestAttraction.Value = 1; 86 pso.SwarmSize.Value = 40; 87 87 88 88 var inertiaUpdater = pso.InertiaUpdaterParameter.ValidValues 89 89 .OfType<ExponentialDiscreteDoubleValueModifier>() 90 90 .Single(); 91 inertiaUpdater.StartValueParameter.Value = new DoubleValue(10); 92 inertiaUpdater.EndValueParameter.Value = new DoubleValue(0.8); 91 inertiaUpdater.EndValueParameter.Value = new DoubleValue(0.721); 93 92 pso.InertiaUpdater = inertiaUpdater; 94 95 pso.ParticleCreator = pso.ParticleCreatorParameter.ValidValues 96 .OfType<RealVectorParticleCreator>() 97 .Single(); 98 var swarmUpdater = pso.SwarmUpdaterParameter.ValidValues 99 .OfType<RealVectorSwarmUpdater>() 100 .Single(); 101 swarmUpdater.MaxVelocityParameter.Value = new DoubleValue(20.0); 102 swarmUpdater.FinalMaxVelocityParameter.Value = new DoubleValue(1.0); 103 swarmUpdater.MaxVelocityScalingOperatorParameter.Value = swarmUpdater.MaxVelocityScalingOperatorParameter.ValidValues 104 .OfType<ExponentialDiscreteDoubleValueModifier>() 105 .Single(); 106 93 107 94 pso.TopologyInitializer = null; 108 95 pso.TopologyUpdater = null; 109 pso.SwarmUpdater = swarmUpdater;110 96 pso.Seed.Value = 0; 111 97 pso.SetSeedRandomly.Value = true;
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