Adaptive intelligence applied to numerical optimisation

  • Authors:
  • Kalin Penev;Anton Ruzhekov

  • Affiliations:
  • Southampton Solent University, UK;Technical University of Sofia, Bulgaria

  • Venue:
  • NMA'10 Proceedings of the 7th international conference on Numerical methods and applications
  • Year:
  • 2010

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Abstract

The article presents modification strategies' theoretical comparison and experimental results achieved by adaptive heuristics applied to numerical optimisation of several non-constraint test functions. The aims of the study are to identify and compare how adaptive search heuristics behave within heterogeneous search space without retuning of the search parameters. The achieved results are summarised and analysed, which could be used for comparison to other methods and further investigation.