Improving the local search capability of Effective Butterfly Optimizer using Covariance Matrix Adapted Retreat Phase

@article{Kumar2017ImprovingTL,
  title={Improving the local search capability of Effective Butterfly Optimizer using Covariance Matrix Adapted Retreat Phase},
  author={Abhishek Kumar and Rakesh Kumar Misra and Devender Singh},
  journal={2017 IEEE Congress on Evolutionary Computation (CEC)},
  year={2017},
  pages={1835-1842}
}
Effective Butterfly Optimizer(EBO) is a self-adaptive Butterfly Optimizer which incorporates a crossover operator in Perching and Patrolling to increase the diversity of the population. This paper proposes a new retreat phase called Covariance Matrix Adapted Retreat Phase (CMAR), which uses covariance matrix to generate a new solution and thus improves the local search capability of EBO. This version of EBO is called EBOwithCMAR. We evaluated the performance of EBOwithCMAR on CEC-2017 benchmark… CONTINUE READING

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