#region License Information /* HeuristicLab * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HEAL.Attic; namespace HeuristicLab.Problems.DataAnalysis.Symbolic { [StorableType("1BFD8CB7-7377-4130-9903-1E9A76349285")] [Item("Analytic Quotient", "The analytic quotient function aq(a,b) = a / sqrt(bē+1) can be used as an " + "alternative to protected division. See H. Drieberg and P. Rocket, The Use of an Analytic Quotient Operator" + " in Genetic Programming. IEEE Transactions on Evolutionary Computation, Vol. 17, No. 1, February 2013, pp. 146 -- 152")] public sealed class AnalyticQuotient : Symbol { private const int minimumArity = 2; private const int maximumArity = 2; public override int MinimumArity { get { return minimumArity; } } public override int MaximumArity { get { return maximumArity; } } [StorableConstructor] private AnalyticQuotient(StorableConstructorFlag _) : base(_) { } private AnalyticQuotient(AnalyticQuotient original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new AnalyticQuotient(this, cloner); } public AnalyticQuotient() : base("AnalyticQuotient", "The analytic quotient function aq(a,b) = a / sqrt(bē+1) can be used as an " + "alternative to protected division. See H. Drieberg and P. Rocket, The Use of an Analytic Quotient Operator" + " in Genetic Programming. IEEE Transactions on Evolutionary Computation, Vol. 17, No. 1, February 2013, pp. 146 -- 152") { } } }