A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming
Evolutionary programming can solve black-box function optimisation problems by evolving a population of numerical vectors. The variation component in the evolutionary process is supplied by a mutation operator, which is typically a Gaussian, Cauchy, or Lévy probability distribution. In this paper, w...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2017
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/47294/ |