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Handling Scheduling Problems with Controllable Parameters by Methods of Submodular Optimization.
Akiyoshi Shioura
Natalia V. Shakhlevich
Vitaly A. Strusevich
Published in:
DOOR (2016)
Keyphrases
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scheduling problem
optimization methods
neural network
preprocessing
computational cost
optimization problems
sensitivity analysis
global optimization
genetic algorithm
support vector
maximum likelihood
benchmark datasets
machine learning methods
parameter settings
optimization process
fine tuning