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| int | StartRaw (ref byte Maximization, ref int Dimension, double[] OptiPara, double[] OptiParaMin, double[] OptiParaMax, double[] OptiParaStep, byte[] OptiParaIsInvolved, byte[] OptiParaMaxIterate, double[] OptiParaOptimum, byte[] RandomizeStartParam, ref byte InfeasibleSolution, ref byte BreakOptimization, ref byte HaltOptimization, TargetFunctionCallRaw TargetFunctionRaw, int PopulationSize, int MaxGenerations, double CrossoverProbability, double MutationProbability, IStoppingCriteria StopCriteria) |
| | Starts a direct optimization run without using properties, these have to be given then as parameters in the funtion call, the return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_TARGET_FUNCTION_NULL = -2, OPTI_ERROR_DIMENSION_OVERSIZED = -3, OPTI_ERROR_IS_RUNNING = -4, OPTI_ERROR_NO_FEASIBLE_SOLUTION = -5, OPTI_ERROR_EXCEPTION = -100 or OPTI_ERROR_ARITHMETICEXCEPTION = -101.
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| int | StartRaw101 (ref byte Maximization, ref int Dimension, double[] OptiPara, double[] OptiParaMin, double[] OptiParaMax, double[] OptiParaStep, byte[] OptiParaIsInvolved, byte[] OptiParaMaxIterate, double[] OptiParaOptimum, byte[] RandomizeStartParam, ref byte InfeasibleSolution, ref byte BreakOptimization, ref byte HaltOptimization, TargetFunctionCallRaw TargetFunctionRaw, int PopulationSize, int MaxGenerations, double CrossoverProbability, double MutationProbability, IStoppingCriteria StopCriteria) |
| | Starts a direct Stacker optimization run without using properties, these have to be given then as parameters in the funtion call, the return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_TARGET_FUNCTION_NULL = -2, OPTI_ERROR_DIMENSION_OVERSIZED = -3, OPTI_ERROR_IS_RUNNING = -4, OPTI_ERROR_NO_FEASIBLE_SOLUTION = -5, OPTI_ERROR_EXCEPTION = -100 or OPTI_ERROR_ARITHMETICEXCEPTION = -101.
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| int | Start () |
| | To trigger an optimization run, the return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_TARGET_FUNCTION_NULL = -2, OPTI_ERROR_DIMENSION_OVERSIZED = -3, OPTI_ERROR_IS_RUNNING = -4, OPTI_ERROR_NO_FEASIBLE_SOLUTION = -5, OPTI_ERROR_EXCEPTION = -100 or OPTI_ERROR_ARITHMETICEXCEPTION = -101.
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| int | PopulationSize [get, set] |
| | To set the population size, this is the number of individuals used for an optimization run.
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| int | MaxGenerations [get, set] |
| | To set the maximal number of generations to be used before an optimization run stops.
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| double | CrossoverProbability [get, set] |
| | This is the rate with which crossover between individuals occurs during propagation.
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| double | MutationProbability [get, set] |
| | This is rate with which mutation of an individual occurs during propagation.
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| double | RandomPopulationRatio [get, set] |
| | To set the ratio of random seeds with reference to the PopulationSize.
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| IStoppingCriteria | StoppingCriteria [get] |
| | Stopping criteria for the genetic algorithm.
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| string | LicenseKeyStacker [get, set] |
| | To input a Stacker Developer or Stacker Developer Deploy license string, when read the hardware or software license is stated.
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| byte | Maximization [get, set] |
| | If TRUE the search goes for a maximum of the target function, if FALSE for a minimum.
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| int | Dimension [get, set] |
| | Number of parameters to be optimized.
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| int | Id [get, set] |
| | Id of the PO algorithm to be used with parallel computing.
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| double[] | OptiPara [get] |
| | Start parameters and runtime values of the parameters.
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| double[] | OptiParaMin [get] |
| | Minimal allowed values for the parameters.
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| double[] | OptiParaMax [get] |
| | Maximal allowed values for the parameters.
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| double[] | OptiParaStep [get] |
| | Step width for the parameters (until now only used by Simple Hill Climbing)
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| byte[] | OptiParaIsInvolved [get] |
| | If FALSE this parameter is not taken into optimization.
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| double[] | OptiParaOptimum [get] |
| | Optimal values of the parameters after an optimization run.
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| double | Optimum [get] |
| | Target function value after an optimization run.
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| byte | InfeasibleSolution [get, set] |
| | If hill climbing parameters are set to RandomizeStartParam and hill climbing property RandomPopulationSize is greater than zero the target function must set this flag if the solution is infeasible (and reset if feasible), with genetic algorithms this parameter has no meaning yet.
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| byte | BreakOptimization [get, set] |
| | To break an optimization run.
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| byte | HaltOptimization [get, set] |
| | To halt an optimization run, as a handshake the optimization sets BreakOptimization, which has to be reset by the user.
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| string | LicenseKey [get, set] |
| | To input a Developer or Developer Deploy license string, when read the hardware or software license is stated.
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| TargetFunctionCall | TargetFunction [get, set] |
| | The target funtion is the function to be searched for an optimum according the parameters.
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| byte | IsRunning [get] |
| | Signals the user that an optimization run is in progress.
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Interface to a single evolutionary and genetic algorithms thread.
| int SiMoPO.GA.IGeneticAlgorithms.StartRaw |
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ref byte | Maximization, |
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ref int | Dimension, |
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double[] | OptiPara, |
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double[] | OptiParaMin, |
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double[] | OptiParaMax, |
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double[] | OptiParaStep, |
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byte[] | OptiParaIsInvolved, |
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byte[] | OptiParaMaxIterate, |
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double[] | OptiParaOptimum, |
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byte[] | RandomizeStartParam, |
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ref byte | InfeasibleSolution, |
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ref byte | BreakOptimization, |
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ref byte | HaltOptimization, |
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TargetFunctionCallRaw | TargetFunctionRaw, |
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int | PopulationSize, |
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int | MaxGenerations, |
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double | CrossoverProbability, |
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double | MutationProbability, |
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IStoppingCriteria | StopCriteria ) |
Starts a direct optimization run without using properties, these have to be given then as parameters in the funtion call, the return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_TARGET_FUNCTION_NULL = -2, OPTI_ERROR_DIMENSION_OVERSIZED = -3, OPTI_ERROR_IS_RUNNING = -4, OPTI_ERROR_NO_FEASIBLE_SOLUTION = -5, OPTI_ERROR_EXCEPTION = -100 or OPTI_ERROR_ARITHMETICEXCEPTION = -101.
| int SiMoPO.GA.IGeneticAlgorithms.StartRaw101 |
( |
ref byte | Maximization, |
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ref int | Dimension, |
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double[] | OptiPara, |
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double[] | OptiParaMin, |
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double[] | OptiParaMax, |
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double[] | OptiParaStep, |
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byte[] | OptiParaIsInvolved, |
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byte[] | OptiParaMaxIterate, |
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double[] | OptiParaOptimum, |
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byte[] | RandomizeStartParam, |
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ref byte | InfeasibleSolution, |
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ref byte | BreakOptimization, |
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ref byte | HaltOptimization, |
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TargetFunctionCallRaw | TargetFunctionRaw, |
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int | PopulationSize, |
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int | MaxGenerations, |
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double | CrossoverProbability, |
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double | MutationProbability, |
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IStoppingCriteria | StopCriteria ) |
Starts a direct Stacker optimization run without using properties, these have to be given then as parameters in the funtion call, the return values are OK = 0, OPTI_ERROR_NOT_LICENSED = -1, OPTI_ERROR_TARGET_FUNCTION_NULL = -2, OPTI_ERROR_DIMENSION_OVERSIZED = -3, OPTI_ERROR_IS_RUNNING = -4, OPTI_ERROR_NO_FEASIBLE_SOLUTION = -5, OPTI_ERROR_EXCEPTION = -100 or OPTI_ERROR_ARITHMETICEXCEPTION = -101.
Inheritance diagram for SiMoPO.GA.IGeneticAlgorithms:
