01255nas a2200217   4500000000100000000000100001008004100002260001200043653001700055653001500072653002400087653001500111100001900126700001700145245011100162856009800273300001000371490000600381520063600387022001401023       2017                            d  c06/201710aOptimization10aAlgorithms10aButterfly Algorithm10aBee Colony1 aSankalap Arora1 aSatvir Singh00aAn Effective Hybrid Butterfly Optimization Algorithm with Artificial Bee Colony for Numerical Optimization  uhttp://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_4_2_pdf_16914.pdf  a14-210 v43 aIn this paper, a new hybrid optimization algorithm which combines the standard Butterfly Optimization Algorithm (BOA) with Artificial Bee Colony (ABC) algorithm is proposed. The proposed algorithm used the advantages of both the algorithms in order to balance the trade-off between exploration and exploitation. Experiments have been conducted on the proposed algorithm using ten benchmark problems having a broad range of dimensions and diverse complexities. The simulation results demonstrate that the convergence speed and accuracy of the proposed algorithm in finding optimal solutions is significantly better than BOA and ABC.  a1989-1660