[12566] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14185] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[12566] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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[7128] | 22 | using System.Collections.Generic;
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[12566] | 23 | using HeuristicLab.Common;
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[7128] | 24 | using HeuristicLab.Core;
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[14927] | 25 | using HeuristicLab.Persistence;
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[7128] | 26 |
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[12582] | 27 | namespace HeuristicLab.Problems.NK {
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[12569] | 28 | [Item("ReverseLinearWeightsInitializer", "Assigns exponentially decreasing weights.")]
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[14927] | 29 | [StorableType("1bda01c8-2725-4f8d-abb1-a2f4d86d7060")]
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[12592] | 30 | public sealed class ReverseLinearWeightsInitializer : ParameterizedNamedItem, IWeightsInitializer {
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[7128] | 31 | [StorableConstructor]
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[15018] | 32 | private ReverseLinearWeightsInitializer(StorableConstructorFlag deserializing) : base(deserializing) { }
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[12582] | 33 | private ReverseLinearWeightsInitializer(ReverseLinearWeightsInitializer original, Cloner cloner)
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[7128] | 34 | : base(original, cloner) {
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| 35 | }
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[12582] | 36 | public ReverseLinearWeightsInitializer() { }
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[7128] | 37 | public override IDeepCloneable Clone(Cloner cloner) {
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| 38 | return new ReverseLinearWeightsInitializer(this, cloner);
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| 39 | }
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| 40 |
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| 41 | public IEnumerable<double> GetWeights(int nComponents) {
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[12566] | 42 | for (int i = nComponents - 1; i >= 0; i--)
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[7128] | 43 | yield return i;
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| 44 | }
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| 45 | }
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| 46 | }
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