X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fsearch.cpp;h=f021f8ff5eb183517a9391bd6cff6faee74d571c;hb=5f4d44fda053335ab20cb67c99323b8c182bf824;hp=44347f79f8b85ec1aee88b579c65c6f9d9b48908;hpb=5c4002aa827653a125130a0d01d0bb96dd2b8bae;p=stockfish diff --git a/src/search.cpp b/src/search.cpp index 44347f79..f021f8ff 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -18,6 +18,7 @@ along with this program. If not, see . */ +#include #include #include #include // For std::memset @@ -69,9 +70,9 @@ namespace { // Reductions lookup table, initialized at startup int Reductions[MAX_MOVES]; // [depth or moveNumber] - template Depth reduction(bool i, Depth d, int mn) { + Depth reduction(bool i, Depth d, int mn) { int r = Reductions[d / ONE_PLY] * Reductions[mn] / 1024; - return ((r + 512) / 1024 + (!i && r > 1024) - PvNode) * ONE_PLY; + return ((r + 512) / 1024 + (!i && r > 1024)) * ONE_PLY; } constexpr int futility_move_count(bool improving, int depth) { @@ -593,7 +594,10 @@ namespace { // starts with statScore = 0. Later grandchildren start with the last calculated // statScore of the previous grandchild. This influences the reduction rules in // LMR which are based on the statScore of parent position. - (ss+2)->statScore = 0; + if (rootNode) + (ss + 4)->statScore = 0; + else + (ss + 2)->statScore = 0; // Step 4. Transposition table lookup. We don't want the score of a partial // search to overwrite a previous full search TT value, so we use a different @@ -851,6 +855,7 @@ moves_loop: // When in check, search starts from here value = bestValue; // Workaround a bogus 'uninitialized' warning under gcc moveCountPruning = false; ttCapture = ttMove && pos.capture_or_promotion(ttMove); + int singularExtensionLMRmultiplier = 0; // Step 12. Loop through all pseudo-legal moves until no moves remain // or a beta cutoff occurs. @@ -894,7 +899,7 @@ moves_loop: // When in check, search starts from here && move == ttMove && !rootNode && !excludedMove // Avoid recursive singular search - /* && ttValue != VALUE_NONE Already implicit in the next condition */ + /* && ttValue != VALUE_NONE Already implicit in the next condition */ && abs(ttValue) < VALUE_KNOWN_WIN && (tte->bound() & BOUND_LOWER) && tte->depth() >= depth - 3 * ONE_PLY @@ -907,7 +912,12 @@ moves_loop: // When in check, search starts from here ss->excludedMove = MOVE_NONE; if (value < singularBeta) + { extension = ONE_PLY; + singularExtensionLMRmultiplier++; + if (value < singularBeta - std::min(3 * depth / ONE_PLY, 39)) + singularExtensionLMRmultiplier++; + } // Multi-cut pruning // Our ttMove is assumed to fail high, and now we failed high also on a reduced @@ -960,7 +970,7 @@ moves_loop: // When in check, search starts from here continue; // Reduced depth of the next LMR search - int lmrDepth = std::max(newDepth - reduction(improving, depth, moveCount), DEPTH_ZERO); + int lmrDepth = std::max(newDepth - reduction(improving, depth, moveCount), DEPTH_ZERO); lmrDepth /= ONE_PLY; // Countermoves based pruning (~20 Elo) @@ -1003,18 +1013,22 @@ moves_loop: // When in check, search starts from here // Step 16. Reduced depth search (LMR). If the move fails high it will be // re-searched at full depth. if ( depth >= 3 * ONE_PLY - && moveCount > 1 - && (!captureOrPromotion || moveCountPruning)) + && moveCount > 1 + 3 * rootNode + && ( !captureOrPromotion + || moveCountPruning + || ss->staticEval + PieceValue[EG][pos.captured_piece()] <= alpha)) { - Depth r = reduction(improving, depth, moveCount); + Depth r = reduction(improving, depth, moveCount); // Decrease reduction if position is or has been on the PV if (ttPv) - r -= ONE_PLY; + r -= 2 * ONE_PLY; // Decrease reduction if opponent's move count is high (~10 Elo) if ((ss-1)->moveCount > 15) r -= ONE_PLY; + // Decrease reduction if move has been singularly extended + r -= singularExtensionLMRmultiplier * ONE_PLY; if (!captureOrPromotion) { @@ -1201,8 +1215,8 @@ moves_loop: // When in check, search starts from here } - // qsearch() is the quiescence search function, which is called by the main - // search function with depth zero, or recursively with depth less than ONE_PLY. + // qsearch() is the quiescence search function, which is called by the main search + // function with zero depth, or recursively with further decreasing depth per call. template Value qsearch(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth) {