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» Optimization of Genetic Operators for Scheduling Problems
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GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
15 years 3 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong
IPPS
2009
IEEE
15 years 4 months ago
Minimizing total busy time in parallel scheduling with application to optical networks
—We consider a scheduling problem in which a bounded number of jobs can be processed simultaneously by a single machine. The input is a set of n jobs J = {J1, . . . , Jn}. Each j...
Michele Flammini, Gianpiero Monaco, Luca Moscardel...
SOFSEM
2010
Springer
15 years 6 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
GECCO
2011
Springer
248views Optimization» more  GECCO 2011»
14 years 29 days ago
Size-based tournaments for node selection
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
Thomas Helmuth, Lee Spector, Brian Martin
LCTRTS
2001
Springer
15 years 1 months ago
A Dynamic Programming Approach to Optimal Integrated Code Generation
Phase-decoupled methods for code generation are the state of the art in compilers for standard processors but generally produce code of poor quality for irregular target architect...
Christoph W. Keßler, Andrzej Bednarski