Session: Poster Session I (06/06, 17:00-18:00, Multipurpose Rooms Hall)

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

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

Abhishek Kumar, Rakesh Misra and Devender Singh

Abhishek Kumar, Rakesh Misra and Devender Singh

Indian Institute of Technology, (BHU), Varanasi, India Indian Institute of Technology, (BHU), Varanasi, India Indian Institute of Technology, (BHU), Varanasi, India

Indian Institute of Technology, (BHU), Varanasi, India Indian Institute of Technology, (BHU), Varanasi, India Indian Institute of Technology, (BHU), Varanasi, India

Effective Butterfly optimizer(EBO) is a self-adaptive Butterfly Optimizer which incorporates the crossover operator in Perching and patrolling to increase the diversity of the popula- tion. This paper proposes a new Retreat phase called Covariance Matrix adapted Retreat Phase (CMAR), which uses the covari- ance matrix to generate a new solution. Local search capability of EBO is improved by using CMAR, called EBOwithCMAR. We evaluated the performance of EBOwithCMAR on CEC-2017 benchmark Problems and compared with the winners of a special session of CEC-2016 for bound-constrained problems and as well as EBO. The experimental results show that EBOwithCMAR is quite competitive with the compared algorithms.