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...
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)
|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 > Computer and Communications Engineering|
|Deposited On:||16 Nov 2012 15:01|
|Last Modified:||04 Aug 2014 14:30|
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