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Get Free AccessEngineering 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.
Xin-she Yang (2011). Bat algorithm for multi-objective optimisation. International Journal of Bio-Inspired Computation, 3(5), pp. 267-267, DOI: 10.1504/ijbic.2011.042259.
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Type
Article
Year
2011
Authors
1
Datasets
0
Total Files
0
Language
English
Journal
International Journal of Bio-Inspired Computation
DOI
10.1504/ijbic.2011.042259
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