A Fruit Fly Optimzation Algorithm Based on lévy Flights Trajectory
GUO Delong
YANG Nan
ZHOU Yongquan
Abstract：Based on the shortcomings of fruit fly optimization Algorithm, which imitates the behavior of flies looking for food, such as low precision, slow convergence rate, and easily falling into local optimal solution, an improvement about the fruit fly optimization algorithm based on lévy flight path is put forward.This method applies the randomness of lévy flight path into the random directions of the individual sense of smell while looking for food, thus increasing the search diversity as well as the search range.At last, a contrast test is conducted to compare the eight standard test functions, the results show that this algorithm is much better in solving the high-dimensional function optimization problems.
Keywords：fruit fly optimization algorithmfunction optimizationlévy flightmultidimensional function optimization
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 304-310 )