Analysis of the Bayesian multi-scale optimistic optimization on the CEC2016 and BBOB testbeds

@article{AlDujaili2016AnalysisOT,
  title={Analysis of the Bayesian multi-scale optimistic optimization on the CEC2016 and BBOB testbeds},
  author={Abdullah Al-Dujaili and Sundaram Suresh},
  journal={2016 IEEE Congress on Evolutionary Computation (CEC)},
  year={2016},
  pages={4988-4995}
}
This paper provides an empirical analysis of the recently proposed Bayesian Multi-Scale Optimistic Optimization (BaMSOO) algorithm for solving bound-constrained black-box global optimization problems under expensive as well as cheap budgets of function evaluations. The CEC2016 and BBOB benchmarks are used in assessing the algorithm. We also compare BaMSOO… CONTINUE READING