Bat Algorithm Based on Opposition Learning Mechanism
YUE Weina
MA Jiming
SU Rijian
GUO Shengnan
Abstract：Aiming at the problem that the firefly algorithm has slow convergence and low precision ,an im-proved Bat algorithm based on opposition learning mechanism is proposed .The proposed algorithm is char-acterized by high precision and good robustness ,and it can effectively jump out the local optimum .6 typi-cal test functions are simulated and the results show that the algorithm is effective and feasible .What′s more, the algorithm also has excellent arithmetic performance in solving an optimization problem with multi-modal function .
Keywords：bat algorithmopposition learningdiversityrobustnes
Publication Date：2016-07-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 251-255 )