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J

John Alasdair Warwicker

ecole polytechnique

9H指数
26论文数
297被引数
收录论文 4
发表时间
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Selection hyper-heuristics can automatically adjust the learning period to optimally solve pseudo-Boolean problems选择超启发式方法能够自动调整学习周期以最优地解决伪布尔问题
errArtificial Intelligence
IF4.6
err2026-08-01
err0
PREAI
errDoerr, Benjamin; Oliveto, Pietro S.; Warwicker, John Alasdair
err分享
err收藏
Optimal Piecewise Linear Approximations for Sigmoid, Tanh, Probability Density and Cumulative Distribution Functions: Tabular Form and R Package pwlapprox2d分段线性最优逼近方法：针对Sigmoid、Tanh、概率密度函数和累积分布函数的表格形式与R软件包pwlapprox2d
errJournal of Global Optimization
IF1.7
err2026-01-01
err0
errOAAI
errWarwicker, John Alasdair; Rebennack, Steffen
err分享
err收藏
Support vector machines within a bivariate mixed-integer linear programming framework
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-07-01
err1
errOAAI
errWarwicker, John Alasdair; Rebennack, Steffen
err分享
err收藏
When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not
errartificial intelligence review
IF4.6
err2023-01-01
err12
errOAAI
errLissovoi, Andrei; Oliveto, Pietro S.; Warwicker, John Alasdair
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
B
Benjamin Doerr
H 指数: 40 · 论文数: 326
S
Steffen Rebennack
H 指数: 31 · 论文数: 120
P
Pietro S. Oliveto
H 指数: 30 · 论文数: 123
A
Andrei Lissovoi
H 指数: 12 · 论文数: 36
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