Bat algorithm for multi-objective optimisation

Yang, Xin-She (2011) Bat algorithm for multi-objective optimisation. International Journal of Bio-Inspired Computation (IJBIC), 3 (5). pp. 267-274. ISSN 1758-0366

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Official URL: http://www.inderscience.com/info/inarticle.php?art...

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:Middlesex University Schools and Centres > School of Science and Technology > Design Engineering and Mathematics
ID Code:9547
Deposited On:16 Nov 2012 15:01
Last Modified:04 Dec 2014 17:06

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