2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)

1 / 2018-08-15 19:42:11

Modified Adaptive Bats Sonar Algorithm with Doppler Effect Mechanism for Solving Single Objective Optimization Problems

Bat Algorithm, Doppler Effect, Metaheuristic, Optimization Algorithm, Single Objective Optimization

A modified adaptive bats sonar algorithm with Doppler Effect (MABSA-DE) is a new algorithm with an element of Doppler Effect theory that helped the transmitted bats’ beam towards a superior position. The performances of the proposed algorithm is validated on a several well-known single objective benchmark test functions. The obtained results show that the algorithm performs better to find optimum solution. The statistical results of MABSA-DE to solve all the test functions also has been compared with the results from the original MABSA on similar test functions. The comparative study has shown that MABSA-DE outperforms the original algorithm, and thus, it can be an efficient alternative method in in the solving single objective optimization problems.