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Small code tidy up and test results

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When testing at 1'+0" time control results are still
reasonably good. We have made two sessions on two
different PC.

After 840 games Mod - Orig: +221 -194 =425 +10 ELO (two CPU)

After 935 games Mod - Orig: +246 -222 =467  +9 ELO (single CPU)

So it seems that with fast CPU and/or longer time controls
benefits of the patch are a bit reduced. This could be due
to the fact that only 3% of nodes are pruned by razoring at
depth one and these nodes are very swallow ones, mostly get
pruned anyway with only a slightly additional cost, even
without performing any do_move() call.

Another reason is that sometime (0,3%% of cases) a possible
good move is missed typically in positions when moving side
gives check, as example in the following one

3r2k1/pbpp1nbp/1p6/3P3q/6RP/1P4P1/P4Pb1/3Q2K1 w - -

The winning move Rxg7+ is missed.

Bottom line is that patch seems good for blitz times, perhaps
also for longer times. We should test against a third engine
(Toga ?) to have a final answer regarding this new setup.

Signed-off-by: Marco Costalba <mcostalba@gmail.com>
This commit is contained in:
Marco Costalba 2009-04-19 17:23:30 +01:00
parent d20e0cf048
commit bd26374f21
2 changed files with 10 additions and 23 deletions
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15
src/search.cpp
View file

@ -182,18 +182,17 @@ namespace {
// and near frontier nodes
const Value FutilityMarginQS = Value(0x80);
//remaining depth: 1 ply 1.5 ply 2 ply 2.5 ply 3 ply 3.5 ply
// Remaining depth: 1 ply 1.5 ply 2 ply 2.5 ply 3 ply 3.5 ply
const Value FutilityMargins[12] = { Value(0x100), Value(0x120), Value(0x200), Value(0x220), Value(0x250), Value(0x270),
// 4 ply 4.5 ply 5 ply 5.5 ply 6 ply 6.5 ply
Value(0x2A0), Value(0x2C0), Value(0x340), Value(0x360), Value(0x3A0), Value(0x3C0) };
// Razoring
const Depth RazorDepth = 4*OnePly;
//remaining depth: 1 ply 1.5 ply 2 ply 2.5 ply 3 ply 3.5 ply
// Remaining depth: 1 ply 1.5 ply 2 ply 2.5 ply 3 ply 3.5 ply
const Value RazorMargins[6] = { Value(0x180), Value(0x300), Value(0x300), Value(0x3C0), Value(0x3C0), Value(0x3C0) };
//remaining depth: 1 ply 1.5 ply 2 ply 2.5 ply 3 ply 3.5 ply
// Remaining depth: 1 ply 1.5 ply 2 ply 2.5 ply 3 ply 3.5 ply
const Value RazorApprMargins[6] = { Value(0x520), Value(0x300), Value(0x300), Value(0x300), Value(0x300), Value(0x300) };
// Last seconds noise filtering (LSN)
@ -444,14 +443,6 @@ void think(const Position &pos, bool infinite, bool ponder, int side_to_move,
UseQSearchFutilityPruning = get_option_value_bool("Futility Pruning (Quiescence Search)");
UseFutilityPruning = get_option_value_bool("Futility Pruning (Main Search)");
//FutilityMarginQS = value_from_centipawns(get_option_value_int("Futility Margin (Quiescence Search)"));
//int fmScale = get_option_value_int("Futility Margin Scale Factor (Main Search)");
//for (int i = 0; i < 6; i++)
// FutilityMargins[i] = (FutilityMargins[i] * fmScale) / 100;
//RazorDepth = (get_option_value_int("Maximum Razoring Depth") + 1) * OnePly;
//RazorMargin = value_from_centipawns(get_option_value_int("Razoring Margin"));
UseLSNFiltering = get_option_value_bool("LSN filtering");
LSNTime = get_option_value_int("LSN Time Margin (sec)") * 1000;
LSNValue = value_from_centipawns(get_option_value_int("LSN Value Margin"));

4
src/ucioption.cpp
View file

@ -128,10 +128,6 @@ namespace {
o["Selective Plies"] = Option(7, 0, 10);
o["Futility Pruning (Main Search)"] = Option(true);
o["Futility Pruning (Quiescence Search)"] = Option(true);
//o["Futility Margin (Quiescence Search)"] = Option(50, 0, 1000);
//o["Futility Margin Scale Factor (Main Search)"] = Option(100, 0, 1000);
//o["Maximum Razoring Depth"] = Option(3, 0, 4);
//o["Razoring Margin"] = Option(300, 150, 600);
o["LSN filtering"] = Option(true);
o["LSN Time Margin (sec)"] = Option(4, 1, 10);
o["LSN Value Margin"] = Option(200, 100, 600);