SQG-Differential Evolution for Difficult Optimization Problems under a Tight Function Evaluation Budget

@article{Sala2017SQGDifferentialEF,
  title={SQG-Differential Evolution for Difficult Optimization Problems under a Tight Function Evaluation Budget},
  author={Ramses Sala and Niccol{\`o} Baldanzini and Marco Pierini},
  journal={ArXiv},
  year={2017},
  volume={abs/1710.06770}
}
In the context of industrial engineering, it is important to integrate efficient computational optimization methods in the product development process. [] Key Method In this communication, a hybrid variant of Differential Evolution (DE) is introduced which combines aspects of Stochastic Quasi-Gradient (SQG) methods within the framework of DE, in order to improve optimization efficiency on problems with the previously mentioned characteristics. The performance of the resulting derivative-free algorithm is…

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