A dynamic step-size adaptation roach infestation optimization

This paper introduces simple Euler method to the existing roach infestation optimization algorithm to improve swarm stability and enhance local and global search performance. A dynamic step size adaptation roach infestation optimization (DSARIO) algorithm is proposed using the Euler step size adaptation. Experimental results obtained from the proposed algorithm demonstrated improved accuracy and convergence ability over existing roach infestation optimization algorithm. Also the numerical results with the proposed algorithm show clearly its ability to solve multi-dimensional problems. The performance of the proposed algorithm is compared with that of existing roach infestation optimization and hungry roach infestation optimization algorithms.