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» Genetic Programming Applied to Mixed Integer Programming
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 8 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
CONSTRAINTS
2006
99views more  CONSTRAINTS 2006»
15 years 2 months ago
An Integrated Method for Planning and Scheduling to Minimize Tardiness
We combine mixed integer linear programming (MILP) and constraint programming (CP) to minimize tardiness in planning and scheduling. Tasks are allocated to facilities using MILP an...
John N. Hooker
IOR
2007
106views more  IOR 2007»
15 years 2 months ago
Planning and Scheduling by Logic-Based Benders Decomposition
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve an important class of planning and scheduling problems. Tasks are allocated to faciliti...
John N. Hooker
CP
2009
Springer
16 years 3 months ago
A Gender-Based Genetic Algorithm for the Automatic Configuration of Algorithms
A problem that is inherent to the development and efficient use of solvers is that of tuning parameters. The CP community has a long history of addressing this task automatically. ...
Carlos Ansótegui, Kevin Tierney, Meinolf Se...
ICS
1999
Tsinghua U.
15 years 7 months ago
Improving the performance of speculatively parallel applications on the Hydra CMP
Hydra is a chip multiprocessor (CMP) with integrated support for thread-level speculation. Thread-level speculation provides a way to parallelize sequential programs without the n...
Kunle Olukotun, Lance Hammond, Mark Willey