Hybrid Fruit Flies Optimization Algorithm Based on Particle Search Strategy
GUO Delong
ZHOU Jincheng
ZHOU Yongquan
Abstract：Fruit flies optimization algorithm is an intelligent optimization algorithm,which has some shortcomings in such as?pects as convergence speed and precision,etc in the later period. This paper presents a mixed fruit flies optimization algorithm based on particle swarm search strategy,making full use of individual extremum and global extremum position in PSO algorithm to update the individual position of fruit flies,so as to make up for the deficiency of the fruit flies optimization algorithm. In order to verify the performance of the algorithm,six standard multivariate nonlinear functions are tested and this algorithm is compared with the standard fruit flies optimization algorithm. With the test results shows that the proposed algorithm's convergence and accuracy are both improved.
Keywords：fruit flies optimzation algorithmparticle swarm optimizationsearch strategyhybrid
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2957-2961,3208 )