Changeset 3315 for trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SchwefelEvaluator.cs
- Timestamp:
- 04/12/10 23:39:40 (14 years ago)
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-
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trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SchwefelEvaluator.cs
r3170 r3315 28 28 namespace HeuristicLab.Problems.TestFunctions { 29 29 /// <summary> 30 /// Schwefel Function (Sine Root)<br/> 31 /// Domain: [-500.0 , 500.0]^n<br/> 32 /// Optimum: 0.0 at (420.968746453712, 420.968746453712, ..., 420.968746453712) 30 /// 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. 33 31 /// </summary> 34 [Item("SchwefelEvaluator", "Evaluates the Schwefel function on a given point. The optimum of this function is 0 at (420.968746453712,420.968746453712,...,420.968746453712).")]32 [Item("SchwefelEvaluator", "Evaluates the Schwefel function (sine root) on a given point. The optimum of this function is 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.")] 35 33 [StorableClass] 36 34 public class SchwefelEvaluator : SingleObjectiveTestFunctionProblemEvaluator {
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