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» Genetic Programming Heuristics for Multiple Machine Scheduli...
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IPPS
2008
IEEE
14 years 1 months ago
A genetic programming approach to solve scheduling problems with parallel simulation
—Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined...
Andreas Beham, Stephan M. Winkler, Stefan Wagner 0...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
ML
2002
ACM
114views Machine Learning» more  ML 2002»
13 years 7 months ago
Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts
The execution order of a block of computer instructions on a pipelined machine can make a difference in running time by a factor of two or more. Compilers use heuristic schedulers...
Amy McGovern, J. Eliot B. Moss, Andrew G. Barto
ICML
1998
IEEE
14 years 8 months ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Ricardo Aler, Daniel Borrajo, Pedro Isasi
ICTAI
2008
IEEE
14 years 1 months ago
Scheduling for Dedicated Machine Constraint Using Integer Programming
We propose an Integer Programming (IP) framework to undertake the dedicated photolithography machine constraint in semiconductor manufacturing. The constraint is one of the new ch...
Huy Nguyen Anh Pham, Arthur M. D. Shr, Peter P. Ch...