// GenOpt project command file 
// Kun Zhang, LBNL, 2020-05-30

// Parameters

Vary {

    Parameter { Name = a; Min = 0.0; Ini = 0.0; Max = 90.0; Step = 0.5; Type = CONTINUOUS; }
    
}

// Optimization settings

OptimizationSettings {

    // Maximum number of iterations (GenOpt will return with an error once this number is reached)
	MaxIte = 2000;
    // Maximum number of iterations with the same cost function value
	MaxEqualResults = 5;
	// Write step number to file or not
    WriteStepNumber = false;
	// Maximum number of simulations that can run in parallel (depending on the algorithm). 0 means "up to the number of CPU cores".
	//UnitsOfExecution = 0;
}

// Optimization algorithm

Algorithm{

  // Hybrid Generalized Pattern Search Algorithm with Particle Swarm Optimization Algorithm
  // Hybrid Algorithm for Continuous and Discrete Variables (must contain at least one continuous parameter)
  // Algorithm settings are from an EnergyPlus example provided with GenOpt

  Main = GPSPSOCCHJ;
  NeighborhoodTopology = vonNeumann;
  NeighborhoodSize = 5;
  NumberOfParticle = 10;
  NumberOfGeneration = 10;
  Seed = 1;
  CognitiveAcceleration = 2.8;
  SocialAcceleration = 1.3;
  MaxVelocityGainContinuous = 0.5;
  MaxVelocityDiscrete = 4;
  ConstrictionGain = 0.5;
  MeshSizeDivider = 2;
  InitialMeshSizeExponent = 0;
  MeshSizeExponentIncrement = 1;
  NumberOfStepReduction = 4;

}