Changeset 3781 for trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SchwefelEvaluator.cs
- Timestamp:
- 05/11/10 19:18:32 (14 years ago)
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trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SchwefelEvaluator.cs
r3376 r3781 31 31 /// The Schwefel function (sine root) is implemented as described in Affenzeller, M. and Wagner, S. 2005. Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms. Ribeiro, B., Albrecht, R. F., Dobnikar, A., Pearson, D. W., and Steele, N. C. (eds.). Adaptive and Natural Computing Algorithms, pp. 218-221, Springer. 32 32 /// </summary> 33 [Item("SchwefelEvaluator", "Evaluates the Schwefel function (sine root) on a given point. The optimum of this function is0 at (420.968746453712,420.968746453712,...,420.968746453712). It is implemented as described in Affenzeller, M. and Wagner, S. 2005. Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms. Ribeiro, B., Albrecht, R. F., Dobnikar, A., Pearson, D. W., and Steele, N. C. (eds.). Adaptive and Natural Computing Algorithms, pp. 218-221, Springer.")]33 [Item("SchwefelEvaluator", "Evaluates the Schwefel function (sine root) on a given point. In the given bounds [-500;500] the optimum of this function is close to 0 at (420.968746453712,420.968746453712,...,420.968746453712). It is implemented as described in Affenzeller, M. and Wagner, S. 2005. Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms. Ribeiro, B., Albrecht, R. F., Dobnikar, A., Pearson, D. W., and Steele, N. C. (eds.). Adaptive and Natural Computing Algorithms, pp. 218-221, Springer.")] 34 34 [StorableClass] 35 35 public class SchwefelEvaluator : SingleObjectiveTestFunctionProblemEvaluator { … … 65 65 } 66 66 67 public override RealVector GetBestKnownSolution(int dimension) { 68 return null; 69 } 70 67 71 /// <summary> 68 72 /// Evaluates the test function for a specific <paramref name="point"/>.
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