Version 2 (modified by mkofler, 14 years ago) (diff) |
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Analyzer
Operators implementing the IAnalyzer interface
General
BestAverageWorstQualityAnalyzer
An operator which analyzes the best, average and worst quality of solutions in the scope tree.
MinAverageMaxValueAnalyzer
An operator which analyzes the minimum, average and maximum of a value in the scope tree.
MultiAnalyzer
An analyzer which applies arbitrary many other analyzers.
QualityAnalyzer
An operator which analyzes the quality of solutions in the scope tree.
ValueAnalyzer
An operator which analyzes a value in the scope tree.
Tabu Search
TabuNeighborhoodAnalyzer
Operator Parameters:
Parameter | Description |
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IsTabu | A value that determines if a move is tabu or not. |
PercentTabu | Indicates how much of the neighborhood is tabu. |
Results | The result collection where the value should be stored. |
Artificial Ant Problem
BestAntTrailAnalyzer
An operator for analyzing the best ant trail of an Artificial Ant Problem?.
Parameter | Description |
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BestSolution | The visual representation of the best ant trail. |
MaxTimeSteps | The maximal time steps that the artificial ant has available to collect all food items. |
Quality | The qualities of the artificial ant solutions which should be visualized. |
Results | The result collection where the best artificial ant solution should be stored. |
SymbolicExpressionTree | The artificial ant solutions from which the best solution should be visualized. |
World | The world with food items for the artificial ant. |
Knapsack Problem
BestKnapsackSolutionAnalyzer
An operator for analyzing the best solution for a Knapsack Problem?.
Parameter | Description |
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BestKnownQuality | The quality of the best known solution. |
BestKnownSolution | The best known solution. |
BestSolution | The best knapsack solution. |
BinaryVector | The knapsack solutions from which the best solution should be visualized. |
KnapsackCapacity | Capacity of the Knapsack. |
Maximization | True if the problem is a maximization problem. |
Quality | The qualities of the knapsack solutions which should be visualized. |
Results | The result collection where the knapsack solution should be stored. |
Values | The values of the items. |
Weights | The weights of the items. |
OneMax Problem
BestOneMaxSolutionAnalyzer
An operator for analyzing the best solution for a OneMax Problem.
Parameter | Description |
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BestKnownQuality | The quality of the best known solution. |
BestKnownSolution | The best known solution. |
BinaryVector | The Onemax solutions from which the best solution should be visualized. |
Maximization | True if the problem is a maximization problem. |
Quality | The qualities of the Onemax solutions which should be visualized. |
Results | The result collection where the Onemax solution should be stored. |
Single Objective Test Function Problem
BestSingleObjectiveTestFunctionSolutionAnalyzer
An operator for analyzing the best solution for a SingleObjectiveTestFunction problem.
Travelling Salesman Problem
BestTSPSolutionAnalyzer
An operator for analyzing the best solution of a Travelling Salesman Problem? given in path representation using city coordinates.
Attachments (1)
- MultiAnalyzer_Example_TSP.png (3.0 KB) - added by mkofler 14 years ago.
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