🔍 Use spsa tuned search values

[eduherminio]

{
    "engine": "Lynx-2123-tuning.exe",
    "book": "books/UHO_XXL_+0.90_+1.19.epd",
    "games": 32,
    "tc": 20,
    "hash": 256,
    "threads": 8
}

iterations: 44384 (8.44s per iter)
LMR_MinDepth = 3(+0.40) in [1, 8]
LMR_MinFullDepthSearchedMoves = 4(+0.23) in [1, 10]
LMR_Base = 75(-2.150160) in [10, 200]
LMR_Divisor = 294(+27.22) in [150, 400]
NMP_MinDepth = 3(+0.16) in [1, 6]
NMP_BaseDepthReduction = 1(+0.22) in [0, 3]
AspirationWindow_Delta = 19(-31.331151) in [0, 300]
AspirationWindow_MinDepth = 7(+1.14) in [1, 10]
RFP_MaxDepth = 4(+2.20) in [1, 12]
RFP_DepthScalingFactor = 85(+10.11) in [10, 200]
Razoring_MaxDepth = 3(+0.69) in [1, 10]
Razoring_Depth1Bonus = 103(-21.529588) in [50, 300]
Razoring_NotDepth1Bonus = 153(-22.314148) in [50, 300]
IIR_MinDepth = 3(-1.299546) in [1, 10]
LMP_MaxDepth = 1(-1.000000) in [1, 10]
LMP_BaseMovesToTry = 1(+1.12) in [0, 12]
LMP_MovesDepthMultiplier = 11(+1.03) in [0, 50]

8+0.08 👎🏽 - https://openbench.lynx-chess.com/test/17/

Elo   | -0.02 +- 3.61 (95%)
SPRT  | 8.0+0.08s Threads=1 Hash=32MB
LLR   | -2.27 (-2.25, 2.89) [0.00, 5.00]
Games | N: 21704 W: 6654 L: 6655 D: 8395
Penta | [814, 2563, 4109, 2542, 824]

40+0.4 👍🏽 - https://openbench.lynx-chess.com/test/18/

Elo   | 12.91 +- 7.79 (95%)
SPRT  | 40.0+0.40s Threads=1 Hash=128MB
LLR   | 2.89 (-2.25, 2.89) [0.00, 5.00]
Games | N: 4416 W: 1360 L: 1196 D: 1860
Penta | [137, 451, 876, 599, 145]

{
    "engine": "Lynx-2123-tuning.exe",
    "book": "UHO_XXL_+0.90_+1.19.epd",
    "games": 32,
    "tc": 8,
    "hash": 256,
    "threads": 8
}

iterations: 119328 (3.24s per iter)
LMR_MinDepth = 3(-0.474966) in [1, 8]
LMR_MinFullDepthSearchedMoves = 5(+1.17) in [1, 10]
LMR_Base = 63(-13.952440) in [10, 200]
LMR_Divisor = 233(-33.727965) in [200, 400]
NMP_MinDepth = 3(-0.192891) in [1, 6]
NMP_BaseDepthReduction = 1(+0.17) in [0, 3]
AspirationWindow_Delta = 44(-5.737934) in [0, 300]
AspirationWindow_MinDepth = 7(+0.97) in [1, 10]
RFP_MaxDepth = 2(+0.33) in [2, 12]
RFP_DepthScalingFactor = 83(+7.84) in [10, 200]
Razoring_MaxDepth = 4(+1.87) in [1, 10]
Razoring_Depth1Bonus = 126(+0.69) in [50, 300]
Razoring_NotDepth1Bonus = 185(+9.87) in [50, 300]
IIR_MinDepth = 3(-0.808969) in [1, 10]
LMP_MaxDepth = 1(-0.658976) in [1, 10]
LMP_BaseMovesToTry = 1(+1.06) in [0, 12]
LMP_MovesDepthMultiplier = 10(+0.42) in [0, 50]

untested