Modified adaptive bats sonar algorithm with doppler effect mechanism for solving single objective unconstrained optimization problems
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 unc...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24601/ http://umpir.ump.edu.my/id/eprint/24601/1/8.%20Modified%20adaptive%20bats%20sonar%20algorithm%20with%20doppler.pdf |
| Summary: | 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. |
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