/// <summary>
/// Initializes an evolutionary run given the parameters and a random seed adjustment (added to each random seed),
/// with the Output pre-constructed.
/// The adjustment offers a convenient way to change the seeds of the random number generators each time you
/// do a new evolutionary run. You are of course welcome to replace the random number generators after initialize(...)
/// but before startFresh(...).
/// </summary>
/// <param name="parameters"></param>
/// <param name="randomSeedOffset"></param>
/// <param name="output"></param>
/// <returns></returns>
public static EvolutionState Initialize(IParameterDatabase parameters, int randomSeedOffset, Output output)
{
var breedthreads = 1;
var evalthreads = 1;
//bool store;
//int x;
// output was already created for us.
output.SystemMessage(ECVersion.Message());
// 2. set up thread values
breedthreads = DetermineThreads(output, parameters, new Parameter(P_BREEDTHREADS));
evalthreads = DetermineThreads(output, parameters, new Parameter(P_EVALTHREADS));
var auto = (V_THREADS_AUTO.ToUpper().Equals(parameters.GetString(new Parameter(P_BREEDTHREADS), null).ToUpper())
||
V_THREADS_AUTO.ToUpper().Equals(
parameters.GetString(new Parameter(P_EVALTHREADS), null).ToUpper()));
// at least one thread is automatic. Seeds may need to be dynamic.
// 3. create the Mersenne Twister random number generators,
// one per thread
var random = new MersenneTwisterFast[1];
var seedMessage = "Seed: ";
// Get time in milliseconds
var time = (int)DateTimeHelper.CurrentTimeMilliseconds;
var seed = 0;
seed = DetermineSeed(output, parameters, new Parameter(P_SEED).Push("" + 0),
time + 0, random.Length * randomSeedOffset, auto);
random[0] = PrimeGenerator(new MersenneTwisterFast(seed));
// we prime the generator to be more sure of randomness.
seedMessage = seedMessage + seed + " ";
// 4. Start up the evolution
// what evolution state to use?
var state = (EvolutionState)parameters.GetInstanceForParameter(new Parameter(P_STATE), null, typeof(IEvolutionState));
state.Parameters = parameters;
state.Random = random;
state.Output = output;
state.EvalThreads = evalthreads;
state.BreedThreads = breedthreads;
state.RandomSeedOffset = randomSeedOffset;
output.SystemMessage($"Threads: breed/{breedthreads} eval/{evalthreads}");
output.SystemMessage(seedMessage);
return(state);
}
/// <summary>
/// Initializes an evolutionary run given the parameters and a random seed adjustment (added to each random seed),
/// with the Output pre-constructed.
/// The adjustment offers a convenient way to change the seeds of the random number generators each time you
/// do a new evolutionary run. You are of course welcome to replace the random number generators after initialize(...)
/// but before startFresh(...).
/// </summary>
public static EvolutionState Initialize(IParameterDatabase parameters, int randomSeedOffset, Output output)
{
var breedthreads = 1;
var evalthreads = 1;
// Should we muzzle stdout and stderr?
if (parameters.ParameterExists(new Parameter(P_MUZZLE), null))
{
output.Warning("" + new Parameter(P_MUZZLE) + " has been deprecated. We suggest you use " +
new Parameter(P_SILENT) + " or similar newer options.");
}
if (parameters.GetBoolean(new Parameter(P_SILENT), null, false) ||
parameters.GetBoolean(new Parameter(P_MUZZLE), null, false))
{
output.GetLog(0).Silent = true;
output.GetLog(1).Silent = true;
}
//bool store;
int x;
// output was already created for us.
output.SystemMessage(ECVersion.Message());
// 2. set up thread values
breedthreads = DetermineThreads(output, parameters, new Parameter(P_BREEDTHREADS));
evalthreads = DetermineThreads(output, parameters, new Parameter(P_EVALTHREADS));
var auto = (V_THREADS_AUTO.ToUpper().Equals(
parameters.GetString(new Parameter(P_BREEDTHREADS), null).ToUpper())
||
V_THREADS_AUTO.ToUpper().Equals(
parameters.GetString(new Parameter(P_EVALTHREADS), null).ToUpper()));
// at least one thread is automatic. Seeds may need to be dynamic.
// 3. create the Mersenne Twister random number generators,
// one per thread
var random = new IMersenneTwister[breedthreads > evalthreads ? breedthreads : evalthreads];
var seeds = new int[random.Length];
var seedMessage = "Seed: ";
// Get time in milliseconds
var time = (int)DateTimeHelper.CurrentTimeMilliseconds;
for (x = 0; x < random.Length; x++)
{
seeds[x] = DetermineSeed(output, parameters, new Parameter(P_SEED).Push("" + x),
time + x, random.Length * randomSeedOffset, auto);
for (var y = 0; y < x; y++)
{
if (seeds[x] == seeds[y])
{
output.Fatal(P_SEED + "." + x + " (" + seeds[x] + ") and "
+ P_SEED + "." + y + " (" + seeds[y] + ") ought not be the same seed.", null, null);
}
}
random[x] = PrimeGenerator(new MersenneTwisterFast(seeds[x]));
// we prime the generator to be more sure of randomness.
seedMessage = seedMessage + seeds[x] + " ";
}
// 4. Start up the evolution
// what evolution state to use?
var state = (EvolutionState)parameters.GetInstanceForParameter(new Parameter(P_STATE), null, typeof(IEvolutionState));
state.Parameters = parameters;
state.Random = random;
state.Output = output;
state.EvalThreads = evalthreads;
state.BreedThreads = breedthreads;
state.RandomSeedOffset = randomSeedOffset;
output.SystemMessage($"Threads: breed/{breedthreads} eval/{evalthreads}");
output.SystemMessage(seedMessage);
return(state);
}