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On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers.
Guillaume Chaslot
Jean-Baptiste Hoock
Fabien Teytaud
Olivier Teytaud
Published in:
ESANN (2009)
Keyphrases
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optimization problems
multi modal
real time
machine learning
genetic algorithm
computer vision
decision making
evolutionary algorithm
multi objective
optimization method
optimization process
constrained optimization
parameter tuning
optimization strategies