X-Git-Url: https://git.sesse.net/?p=stockfish;a=blobdiff_plain;f=src%2Fevaluate.cpp;h=45c5b0a8c83fda889adb15d9a61cfc3a42585a55;hp=8416162d357aa0f0d5740ea9b05f41ee652adb14;hb=fe4fda474fb8b0cb582c8232be602e2d323c87eb;hpb=91cc82aa2566e6b6fa60cf82298250d6e4e2dd46 diff --git a/src/evaluate.cpp b/src/evaluate.cpp index 8416162d..45c5b0a8 100644 --- a/src/evaluate.cpp +++ b/src/evaluate.cpp @@ -1,7 +1,7 @@ /* Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Copyright (C) 2004-2008 Tord Romstad (Glaurung author) - Copyright (C) 2008-2014 Marco Costalba, Joona Kiiski, Tord Romstad + Copyright (C) 2008-2015 Marco Costalba, Joona Kiiski, Tord Romstad Stockfish is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by @@ -198,7 +198,7 @@ namespace { // KingDanger[attackUnits] contains the actual king danger weighted // scores, indexed by a calculated integer number. - Score KingDanger[128]; + Score KingDanger[512]; // apply_weight() weighs score 's' by weight 'w' trying to prevent overflow Score apply_weight(Score s, const Weight& w) { @@ -476,7 +476,7 @@ namespace { // Finally, extract the king danger score from the KingDanger[] // array and subtract the score from evaluation. - score -= KingDanger[std::max(std::min(attackUnits / 4, 99), 0)]; + score -= KingDanger[std::max(std::min(attackUnits, 399), 0)]; } if (Trace) @@ -534,7 +534,7 @@ namespace { b = weak & ~ei.attackedBy[Them][ALL_PIECES]; if (b) - score += more_than_one(b) ? Hanging * popcount(b) : Hanging; + score += Hanging * popcount(b); b = weak & ei.attackedBy[Us][KING]; if (b) @@ -891,13 +891,14 @@ namespace Eval { void init() { - const double MaxSlope = 30; + const double MaxSlope = 7.5; const double Peak = 1280; + double t = 0.0; - for (int t = 0, i = 1; i < 100; ++i) + for (int i = 1; i < 400; ++i) { - t = int(std::min(Peak, std::min(0.4 * i * i, t + MaxSlope))); - KingDanger[i] = apply_weight(make_score(t, 0), Weights[KingSafety]); + t = std::min(Peak, std::min(0.025 * i * i, t + MaxSlope)); + KingDanger[i] = apply_weight(make_score(int(t), 0), Weights[KingSafety]); } }