public PlanovacOdvozMaterialu(int id, OSPABA.Simulation mySim, CommonAgent myAgent) :
base(id, mySim, myAgent)
{
GenCas = new EmpiricRNG <int>(new Random(((MySimulation)MySim).SeedGenerator.Next()),
new EmpiricPair <int>(new UniformDiscreteRNG(10, 20), 0.02),
new EmpiricPair <int>(new UniformDiscreteRNG(21, 48), 0.2),
new EmpiricPair <int>(new UniformDiscreteRNG(49, 65), 0.33),
new EmpiricPair <int>(new UniformDiscreteRNG(66, 79), 0.3),
new EmpiricPair <int>(new UniformDiscreteRNG(80, 99), 0.15));
}
override public void PrepareReplication()
{
base.PrepareReplication();
// Setup component for the next replication
GenCasA = new ExponentialRNG(46.9, new Random(((MySimulation)MySim).SeedGenerator.Next()), 0.99);
GenCasB = new ExponentialRNG(36.8, new Random(((MySimulation)MySim).SeedGenerator.Next()), 3);
GenCasC = new ExponentialRNG(25.8, new Random(((MySimulation)MySim).SeedGenerator.Next()), 0.99);
GenMaterialA = new EmpiricRNG <int>(new Random(((MySimulation)MySim).SeedGenerator.Next()),
new EmpiricPair <int>(new UniformDiscreteRNG(4, 4), 0),
new EmpiricPair <int>(new UniformDiscreteRNG(5, 5), 0.0033085),
new EmpiricPair <int>(new UniformDiscreteRNG(6, 6), 0.0128205),
new EmpiricPair <int>(new UniformDiscreteRNG(7, 7), 0.0384615),
new EmpiricPair <int>(new UniformDiscreteRNG(8, 8), 0.0500414),
new EmpiricPair <int>(new UniformDiscreteRNG(9, 9), 0.0624483),
new EmpiricPair <int>(new UniformDiscreteRNG(10, 10), 0.0744417),
new EmpiricPair <int>(new UniformDiscreteRNG(11, 11), 0.0959471),
new EmpiricPair <int>(new UniformDiscreteRNG(12, 12), 0.1066998),
new EmpiricPair <int>(new UniformDiscreteRNG(13, 13), 0.1306865),
new EmpiricPair <int>(new UniformDiscreteRNG(14, 14), 0.1488834),
new EmpiricPair <int>(new UniformDiscreteRNG(15, 15), 0.1600496),
new EmpiricPair <int>(new UniformDiscreteRNG(16, 16), 0.115798),
new EmpiricPair <int>(new UniformDiscreteRNG(19, 19), 0.0004136));
GenMaterialB = new EmpiricRNG <int>(new Random(((MySimulation)MySim).SeedGenerator.Next()),
new EmpiricPair <int>(new UniformDiscreteRNG(6, 6), 0.0003509),
new EmpiricPair <int>(new UniformDiscreteRNG(7, 7), 0.0010526),
new EmpiricPair <int>(new UniformDiscreteRNG(8, 8), 0.0028070),
new EmpiricPair <int>(new UniformDiscreteRNG(9, 9), 0.0031579),
new EmpiricPair <int>(new UniformDiscreteRNG(10, 10), 0.0045614),
new EmpiricPair <int>(new UniformDiscreteRNG(11, 11), 0.0073684),
new EmpiricPair <int>(new UniformDiscreteRNG(12, 12), 0.0070175),
new EmpiricPair <int>(new UniformDiscreteRNG(13, 13), 0.0077193),
new EmpiricPair <int>(new UniformDiscreteRNG(14, 14), 0.0115789),
new EmpiricPair <int>(new UniformDiscreteRNG(15, 15), 0.0105263),
new EmpiricPair <int>(new UniformDiscreteRNG(16, 16), 0.0638596),
new EmpiricPair <int>(new UniformDiscreteRNG(17, 17), 0.1828070),
new EmpiricPair <int>(new UniformDiscreteRNG(18, 18), 0.1940351),
new EmpiricPair <int>(new UniformDiscreteRNG(19, 19), 0.2098246),
new EmpiricPair <int>(new UniformDiscreteRNG(20, 20), 0.2224561),
new EmpiricPair <int>(new UniformDiscreteRNG(21, 21), 0.0708772));
GenMaterialC = new EmpiricRNG <int>(new Random(((MySimulation)MySim).SeedGenerator.Next()),
new EmpiricPair <int>(new UniformDiscreteRNG(5, 5), 0.0004735),
new EmpiricPair <int>(new UniformDiscreteRNG(6, 6), 0.0030777),
new EmpiricPair <int>(new UniformDiscreteRNG(7, 7), 0.0037879),
new EmpiricPair <int>(new UniformDiscreteRNG(8, 8), 0.0059186),
new EmpiricPair <int>(new UniformDiscreteRNG(9, 9), 0.0104167),
new EmpiricPair <int>(new UniformDiscreteRNG(10, 10), 0.0073390),
new EmpiricPair <int>(new UniformDiscreteRNG(11, 11), 0.0163352),
new EmpiricPair <int>(new UniformDiscreteRNG(12, 12), 0.0187027),
new EmpiricPair <int>(new UniformDiscreteRNG(13, 13), 0.0184660),
new EmpiricPair <int>(new UniformDiscreteRNG(14, 14), 0.0184659),
new EmpiricPair <int>(new UniformDiscreteRNG(15, 15), 0.0217803),
new EmpiricPair <int>(new UniformDiscreteRNG(16, 16), 0.0229640),
new EmpiricPair <int>(new UniformDiscreteRNG(17, 17), 0.0187027),
new EmpiricPair <int>(new UniformDiscreteRNG(18, 18), 0.0246212),
new EmpiricPair <int>(new UniformDiscreteRNG(19, 19), 0.0262784),
new EmpiricPair <int>(new UniformDiscreteRNG(20, 20), 0.0210701),
new EmpiricPair <int>(new UniformDiscreteRNG(21, 21), 0.1439394),
new EmpiricPair <int>(new UniformDiscreteRNG(22, 22), 0.2057292),
new EmpiricPair <int>(new UniformDiscreteRNG(23, 23), 0.2249053),
new EmpiricPair <int>(new UniformDiscreteRNG(24, 24), 0.1870265));
}