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Tuned Futility Equation

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@Vizvezdenec array suggested that alternate values may be better than current
master (see pull request #2270 ). I tuned some linear equations to more closely
represent his values and it passed. These futility values seem quite sensitive,
so perhaps additional Elo improvements can be found here.

STC
LLR: 2.95 (-2.94,2.94) [0.50,4.50]
Total: 12257 W: 2820 L: 2595 D: 6842
http://tests.stockfishchess.org/tests/view/5d5b2f360ebc5925cf1111ac

LTC
LLR: 2.96 (-2.94,2.94) [0.00,3.50]
Total: 20273 W: 3497 L: 3264 D: 13512
http://tests.stockfishchess.org/tests/view/5d5c0d250ebc5925cf111ac3

Closes https://github.com/official-stockfish/Stockfish/pull/2272

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How to continue from there ?

a) we can try a simpler version for the futility margin, this would
   be a simplification :
    margin = 188 * (depth - improving)

b) on the other direction, we can try a complexification by trying
   again to gain Elo with an complete array of futility values.

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Bench: 4330402
This commit is contained in:
protonspring 2019-08-20 19:52:18 -06:00 • committed by Stéphane Nicolet
parent d4dca9187e
commit 18279b24fc
1 changed files with 1 additions and 1 deletions
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2
src/search.cpp
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@ -64,7 +64,7 @@ namespace {
// Razor and futility margins // Razor and futility margins
constexpr int RazorMargin = 661; constexpr int RazorMargin = 661;
Value futility_margin(Depth d, bool improving) { Value futility_margin(Depth d, bool improving) {
return Value((168 - 51 * improving) * d / ONE_PLY); return Value(198 * (d / ONE_PLY) - 178 * improving);
} }
// Reductions lookup table, initialized at startup // Reductions lookup table, initialized at startup