Search + Eval + Movepick Tune

Passed STC:
https://tests.stockfishchess.org/tests/view/65ef15220ec64f0526c44b04
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 24480 W: 6459 L: 6153 D: 11868
Ptnml(0-2): 101, 2798, 6184, 3008, 149

Passed LTC:
https://tests.stockfishchess.org/tests/view/65ef4bac0ec64f0526c44f50
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 53316 W: 13561 L: 13203 D: 26552
Ptnml(0-2): 27, 5925, 14408, 6259, 39

closes #5104

Bench: 1715522

Author: FauziAkram

src/evaluate.cpp

@@ -59,15 +59,15 @@ Value Eval::evaluate(const Eval::NNUE::Networks& networks, const Position& pos,
                           : networks.big.evaluate(pos, true, &nnueComplexity, false);
 
     // Blend optimism and eval with nnue complexity and material imbalance
-    optimism += optimism * (nnueComplexity + std::abs(simpleEval - nnue)) / 512;
-    nnue -= nnue * (nnueComplexity + std::abs(simpleEval - nnue)) / 32768;
+    optimism += optimism * (nnueComplexity + std::abs(simpleEval - nnue)) / 524;
+    nnue -= nnue * (nnueComplexity + std::abs(simpleEval - nnue)) / 31950;
 
     int npm = pos.non_pawn_material() / 64;
-    int v   = (nnue * (915 + npm + 9 * pos.count<PAWN>()) + optimism * (154 + npm)) / 1024;
+    int v   = (nnue * (927 + npm + 9 * pos.count<PAWN>()) + optimism * (159 + npm)) / 1000;
 
     // Damp down the evaluation linearly when shuffling
     int shuffling = pos.rule50_count();
-    v             = v * (200 - shuffling) / 214;
+    v             = v * (195 - shuffling) / 228;
 
     // Guarantee evaluation does not hit the tablebase range
     v = std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);

src/evaluate.h

@@ -29,7 +29,7 @@ class Position;
 
 namespace Eval {
 
-constexpr inline int SmallNetThreshold = 1139, PsqtOnlyThreshold = 2500;
+constexpr inline int SmallNetThreshold = 1136, PsqtOnlyThreshold = 2656;
 
 // The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
 // for the build process (profile-build and fishtest) to work. Do not change the

src/movepick.cpp

@@ -190,18 +190,18 @@ void MovePicker::score() {
             m.value += bool(pos.check_squares(pt) & to) * 16384;
 
             // bonus for escaping from capture
-            m.value += threatenedPieces & from ? (pt == QUEEN && !(to & threatenedByRook)   ? 50000
-                                                  : pt == ROOK && !(to & threatenedByMinor) ? 25000
-                                                  : !(to & threatenedByPawn)                ? 15000
+            m.value += threatenedPieces & from ? (pt == QUEEN && !(to & threatenedByRook)   ? 51000
+                                                  : pt == ROOK && !(to & threatenedByMinor) ? 24950
+                                                  : !(to & threatenedByPawn)                ? 14450
                                                                                             : 0)
                                                : 0;
 
             // malus for putting piece en prise
             m.value -= !(threatenedPieces & from)
-                       ? (pt == QUEEN ? bool(to & threatenedByRook) * 50000
-                                          + bool(to & threatenedByMinor) * 10000
-                          : pt == ROOK ? bool(to & threatenedByMinor) * 25000
-                          : pt != PAWN ? bool(to & threatenedByPawn) * 15000
+                       ? (pt == QUEEN ? bool(to & threatenedByRook) * 48150
+                                          + bool(to & threatenedByMinor) * 10650
+                          : pt == ROOK ? bool(to & threatenedByMinor) * 24500
+                          : pt != PAWN ? bool(to & threatenedByPawn) * 14950
                                        : 0)
                        : 0;
         }
@@ -241,7 +241,7 @@ Move MovePicker::select(Pred filter) {
 // moves left, picking the move with the highest score from a list of generated moves.
 Move MovePicker::next_move(bool skipQuiets) {
 
-    auto quiet_threshold = [](Depth d) { return -3330 * d; };
+    auto quiet_threshold = [](Depth d) { return -3550 * d; };
 
 top:
     switch (stage)

src/search.cpp

@@ -55,8 +55,8 @@ namespace {
 
 // Futility margin
 Value futility_margin(Depth d, bool noTtCutNode, bool improving, bool oppWorsening) {
-    Value futilityMult       = 121 - 43 * noTtCutNode;
-    Value improvingDeduction = 3 * improving * futilityMult / 2;
+    Value futilityMult       = 122 - 46 * noTtCutNode;
+    Value improvingDeduction = 57 * improving * futilityMult / 32;
     Value worseningDeduction = (331 + 45 * improving) * oppWorsening * futilityMult / 1024;
 
     return futilityMult * d - improvingDeduction - worseningDeduction;
@@ -69,15 +69,15 @@ constexpr int futility_move_count(bool improving, Depth depth) {
 // Add correctionHistory value to raw staticEval and guarantee evaluation does not hit the tablebase range
 Value to_corrected_static_eval(Value v, const Worker& w, const Position& pos) {
     auto cv = w.correctionHistory[pos.side_to_move()][pawn_structure_index<Correction>(pos)];
-    v += cv * std::abs(cv) / 10759;
+    v += cv * std::abs(cv) / 11450;
     return std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
 }
 
 // History and stats update bonus, based on depth
 int stat_bonus(Depth d) { return std::min(249 * d - 327, 1192); }
 
 // History and stats update malus, based on depth
-int stat_malus(Depth d) { return std::min(516 * d - 299, 1432); }
+int stat_malus(Depth d) { return std::min(516 * d - 299, 1254); }
 
 // Add a small random component to draw evaluations to avoid 3-fold blindness
 Value value_draw(size_t nodes) { return VALUE_DRAW - 1 + Value(nodes & 0x2); }
@@ -301,12 +301,12 @@ void Search::Worker::iterative_deepening() {
 
             // Reset aspiration window starting size
             Value avg = rootMoves[pvIdx].averageScore;
-            delta     = 9 + avg * avg / 12804;
+            delta     = 9 + avg * avg / 12800;
             alpha     = std::max(avg - delta, -VALUE_INFINITE);
             beta      = std::min(avg + delta, VALUE_INFINITE);
 
             // Adjust optimism based on root move's averageScore (~4 Elo)
-            optimism[us]  = 131 * avg / (std::abs(avg) + 90);
+            optimism[us]  = 130 * avg / (std::abs(avg) + 90);
             optimism[~us] = -optimism[us];
 
             // Start with a small aspiration window and, in the case of a fail
@@ -500,7 +500,7 @@ void Search::Worker::clear() {
                     h->fill(-71);
 
     for (size_t i = 1; i < reductions.size(); ++i)
-        reductions[i] = int((19.02 + std::log(size_t(options["Threads"])) / 2) * std::log(i));
+        reductions[i] = int((19.80 + std::log(size_t(options["Threads"])) / 2) * std::log(i));
 }
 
 
@@ -732,12 +732,12 @@ Value Search::Worker::search(
     // Use static evaluation difference to improve quiet move ordering (~9 Elo)
     if (((ss - 1)->currentMove).is_ok() && !(ss - 1)->inCheck && !priorCapture)
     {
-        int bonus = std::clamp(-14 * int((ss - 1)->staticEval + ss->staticEval), -1621, 1237);
+        int bonus = std::clamp(-14 * int((ss - 1)->staticEval + ss->staticEval), -1621, 1238);
         bonus     = bonus > 0 ? 2 * bonus : bonus / 2;
         thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()] << bonus;
         if (type_of(pos.piece_on(prevSq)) != PAWN && ((ss - 1)->currentMove).type_of() != PROMOTION)
             thisThread->pawnHistory[pawn_structure_index(pos)][pos.piece_on(prevSq)][prevSq]
-              << bonus / 4;
+              << bonus / 2;
     }
 
     // Set up the improving flag, which is true if current static evaluation is
@@ -828,7 +828,7 @@ Value Search::Worker::search(
     // Step 11. ProbCut (~10 Elo)
     // If we have a good enough capture (or queen promotion) and a reduced search returns a value
     // much above beta, we can (almost) safely prune the previous move.
-    probCutBeta = beta + 164 - 62 * improving;
+    probCutBeta = beta + 168 - 64 * improving;
     if (
       !PvNode && depth > 3
       && std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY
@@ -1139,7 +1139,7 @@ Value Search::Worker::search(
                       + (*contHist[3])[movedPiece][move.to_sq()] - 4587;
 
         // Decrease/increase reduction for moves with a good/bad history (~8 Elo)
-        r -= ss->statScore / 12372;
+        r -= ss->statScore / 14956;
 
         // Step 17. Late moves reduction / extension (LMR, ~117 Elo)
         if (depth >= 2 && moveCount > 1 + rootNode)
@@ -1627,7 +1627,7 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta,
 
 Depth Search::Worker::reduction(bool i, Depth d, int mn, int delta) {
     int reductionScale = reductions[d] * reductions[mn];
-    return (reductionScale + 1091 - delta * 759 / rootDelta) / 1024 + (!i && reductionScale > 952);
+    return (reductionScale + 1091 - delta * 759 / rootDelta) / 1024 + (!i && reductionScale > 950);
 }
 
 namespace {

src/tt.cpp

@@ -134,8 +134,8 @@ TTEntry* TranspositionTable::probe(const Key key, bool& found) const {
     // Find an entry to be replaced according to the replacement strategy
     TTEntry* replace = tte;
     for (int i = 1; i < ClusterSize; ++i)
-        if (replace->depth8 - replace->relative_age(generation8)
-            > tte[i].depth8 - tte[i].relative_age(generation8))
+        if (replace->depth8 - replace->relative_age(generation8) * 2
+            > tte[i].depth8 - tte[i].relative_age(generation8) * 2)
             replace = &tte[i];
 
     return found = false, replace;