Modified adaptive bats sonar algorithm with doppler effect mechanism for solving single objective unconstrained optimization problems

• Main Authors: N. A., Azlan, Nafrizuan, Mat Yahya
• Format: Conference or Workshop Item
• Language: English
• Published: Universiti Malaysia Pahang 2019
• Subjects: TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/24601/1/8.%20Modified%20adaptive%20bats%20sonar%20algorithm%20with%20doppler.pdf; http://umpir.ump.edu.my/id/eprint/24601/
• Institution: Universiti Malaysia Pahang

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 unconstrained benchmark test functions. The obtained results show that the algorithm can perform well 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 solving single objective unconstrained optimization problems.