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wiki:UsersSamples

Version 4 (modified by mkofler, 14 years ago) (diff)

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Samples

This section provides complementary material for the samples that are shipped with the HeuristicLab 3.3 Optimizer.

Evolution Strategy - Griewank

A pre-defined evolution strategy which solves the 10-dimensional [TestFunctions#GriewankFunction Griewank test function]. HeuristicLab 3 provides a set of real valued test functions for benchmarking purposes. For a full overview please go the [TestFunctions Test Functions] wiki page.

Algorithm: Evolution Strategy

Algorithm Parameters:

  • Population Size: 20
  • Children: 500
  • MaximumGenerations: 200
  • ParentsPerChild: 5
  • PlusSelection: False (Comma Selection)
  • Recombinator: AverageCrossover
  • Mutator: NormalAllPositionsManipulator

Problem: Single Objective Test Function

Problem Parameters:

  • BestKnownQuality: 0
  • BestKnownSolution: [0;0;0;0;0;0;0;0;0;0]
  • Bounds: [-600, 600]
  • Evaluator: GriewankEvaluator
  • Maximization: False
  • ProblemSize: 10
  • SolutionCreator: UniformRandomRealVectorCreator

Genetic Algorithm - TSP

This sample demonstrates how to employ a genetic algorithm to optimize a travelling salesman problem instance, namely "ch130" from the TSP Lib.

Algorithm: Genetic Algorithm

Algorithm Parameters:

  • PopulationSize: 100
  • Elites: 1
  • MutationProbability: 5%
  • MaximumGenerations: 1000
  • Selector: ProportionalSelector
  • Crossover: Crossover2 (cf. Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press. p. 135)
  • Mutator: InversionManipulator

Problem: Single Objective Test Function

Problem Parameters:

  • BestKnownQuality: 6110
  • BestKnownSolution: The best known solution of this TSP instance (cf. TSP Lib)
  • Coordinates: The x and y coordinates of the cities
  • Evaluator: !TSPRoundedEuclideanPathEvaluator
  • Maximization: False
  • SolutionCreator: RandomPermutationCreator
  • UseDistanceMatrix: True

Genetic programming for artificial ant problem

A description will follow shortly

Genetic programming for symbolic regression

A description will follow shortly

Simulated Annealing - Rastrigin

A description will follow shortly

Island Genentic Algorithm - TSP

A description will follow shortly

Attachments (7)

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