Bat algorithm for multi-objective optimisation
Yang, Xin-She 
ORCID: https://orcid.org/0000-0001-8231-5556
(2011)
Bat algorithm for multi-objective optimisation.
International Journal of Bio-Inspired Computation (IJBIC), 3
(5)
.
pp. 267-274.
ISSN 1758-0366
[Article]
(doi:10.1504/IJBIC.2011.042259)
Abstract
Engineering optimisation is typically multi-objective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimisation algorithms. Recently, Xin-She Yang proposed a bat-inspired algorithm for solving non-linear, global optimisation problems. In this paper, we extend this algorithm to solve multi-objective optimisation problems. The proposed multi-objective bat algorithm (MOBA) is first validated against a subset of test functions, and then applied to solve multi-objective design problems such as welded beam design. Simulation results suggest that the proposed algorithm works efficiently.
(from publisher's website)
| Item Type: | Article |
|---|---|
| Keywords (uncontrolled): | bat algorithm; cuckoo search; firefly algorithm; optimisation; multiobjective optimisation; multiobjective design; welded beam design; simulation. |
| Research Areas: | A. > School of Science and Technology > Design Engineering and Mathematics |
| Item ID: | 9547 |
| Useful Links: | |
| Depositing User: | Teddy ~ |
| Date Deposited: | 16 Nov 2012 15:01 |
| Last Modified: | 10 Jun 2019 13:07 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/9547 |
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