2012/03/29 by Xin-She Yang · 1 citation
Mathematics · #math.OC
published as Yang, X. S., (2011). Bat Algorithm for Multiobjective Optimization, Int. J. Bio-Inspired Computation, Vol.3, No.5, pp.267-274 · 12 pages. arXiv admin note: text overlap with arXiv:1004.4170
arxiv created 2012/03/29 · arxiv updated 2012/03/30
Engineering optimization is typically multiobjective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimization algorithms. Recently, Xin-She Yang proposed a bat-inspired algorithm for solving nonlinear, global optimisation problems. In this paper, we extend this algorithm to solve multiobjective optimisation problems. The proposed multiobjective bat algorithm (MOBA) is first validated against a subset of test functions, and then applied to solve multiobjective design problems such as welded beam design. Simulation results suggest that the proposed algorithm works efficiently.