Open AccessBird colony algorithm use in the logistics module of the production management system
Author(s) -
I A Belousov,
K I Firsov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1958/1/012005
Subject(s) - algorithm , swarm intelligence , computer science , cluster analysis , matrix (chemical analysis) , particle swarm optimization , artificial intelligence , materials science , composite material
The report discusses the application of the bird colony algorithm together with the solution of the clustering problem in the logistics module of the ERP-system. This polynomial algorithm belongs to the category of stochastic biotic algorithms. The main rule of the implementation of the bird colony algorithm is that the so-called swarm intelligence is used to solve the optimization problem. The article describes the rule of algorithm operation, the study of the properties of this algorithm based on the results of modeling on a real base of target points and makes a comparative analysis of the algorithm with previously used algorithms in the system. The application of the algorithm in matrix form using the entropy matrix is described in the report. The obtained results allow us to say with confidence that the use of the bird colony algorithm can significantly increase the algorithm speed of logistic module.