| 이름 |
설명 |
| FeasibleTrace |
Store feasibility-values during optimization runs and write them to a file afterwards. The number of iterations per optimization run must be known in advance. |
| FitnessPrint |
Prints parameters and fitness to Console. Useful in viewing the progress of meta-optimization. Works as a 'transparent' wrapper for the problem to be optimized. Note that feasibility is computed here. |
| FitnessTrace |
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| FitnessTraceQuartiles |
Store fitness-values at intervals during optimization runs and write their quartiles to a file afterwards. This only supports a fixed number of optimization runs and iterations per run which must therefore be known in advance. Keep the number of intervals small because it requires much memory. |
| Globals |
Collection of globally used static variables. |
| LogSolutions |
Log best solutions found during optimization, that is, log parameters and their associated fitness. Transparently wraps around a problem-object. |
| Optimizer |
Base-class for an optimizer. |
| OptimizerWrapper |
Transparently wrap an Optimizer-object. |
| Problem |
Base-class for an optimization problem. |
| ProblemIndex |
Used for sorting optimization problems so that those hardest to optimize are tried first. This is used in the MetaFitness class where Pre-emptive Fitness Evaluation seeks to abort the meta-fitness evaluation as early as possible. |
| ProblemIndex.ProblemFitness |
Associate an optimization problem with a fitness. |
| ProblemWrapper |
Transparently wrap a problem-object. |
| Quartiles |
Compute quartiles. |
| Repeat |
Base-class for performing a number of optimization runs. |
| RepeatMin |
Performs a number of optimization runs and returns the minimum fitness found. Respects feasibility (constraint satisfaction.) This does NOT allow for Preemptive Fitness Evaluation! |
| RepeatSum |
Performs a number of optimization runs and returns the sum of the fitnesses. Ignores feasibility (constraint satisfaction.) This allows for Preemptive Fitness Evaluation. |
| Result |
Best solution found during optimization. |
| Statistics |
Wrapper for an optimizer providing statistics such as mean fitness achieved over a number of optimization runs, best results achieved, etc. Transparently supports the same methods as the the optimizer itself, but stores the optimization results so as to compute the statistics. |
| StatisticsAccumulator |
Compute statistical measures in accumulating manner, incl. mean, variance, std.deviation, min, max. |
| Tools |
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| WeightedProblem |
Problem and weight pair for use in meta-optimization. |