Title: Bat algorithm for multi-objective optimisation

Authors: Xin-She Yang

Addresses: Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK; Mathematics and Scientific Computing, National Physical Laboratory, Teddington TW11 0LW, UK

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.

Keywords: bat algorithm; cuckoo search; firefly algorithm; optimisation; multiobjective optimisation; multiobjective design; welded beam design; simulation.

DOI: 10.1504/IJBIC.2011.042259

International Journal of Bio-Inspired Computation, 2011 Vol.3 No.5, pp.267 - 274

Received: 23 May 2011
Accepted: 07 Jun 2011
Published online: 12 Nov 2014 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article