PID controller optimized by Big Bang-Big Crunch algorithm for the evolution of router bandwidth demand

This paper presents an application of the Big Bang-Big Crunch algorithm to estimate with high precision the gains Kp, Ki and Kd of a PID controller. The optimized PID controller together with an evolution model is useful for the network administrators as it provides information within 5 or 15-min in...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of information technology (Singapore. Online) Vol. 12; no. 3; pp. 691 - 698
Main Authors Giannopoulos, Iordanis K., Leros, Asimakis K., Leros, Apostolos P., Kofinas, Panagiotis, Dounis, Anastasios I.
Format Journal Article
LanguageEnglish
Published Singapore Springer Singapore 01.09.2020
Springer Nature B.V
Subjects
Algorithms
Artificial Intelligence
Computer Imaging
Computer Science
Computer simulation
Controllers
Evolutionary algorithms
Image Processing and Computer Vision
Machine Learning
Original Research
Pattern Recognition and Graphics
Proportional integral derivative
Software Engineering
Vision
Network traffic modeling
Router bandwidth demand
Big Bang-Big crunch algorithm
PID tuning
Online AccessGet full text
ISSN2511-2104
2511-2112
DOI10.1007/s41870-020-00424-w

Cover

More Information
Summary:This paper presents an application of the Big Bang-Big Crunch algorithm to estimate with high precision the gains Kp, Ki and Kd of a PID controller. The optimized PID controller together with an evolution model is useful for the network administrators as it provides information within 5 or 15-min intervals for the bandwidth distribution. Furthermore, the Big Bang-Big Crunch algorithm results will be compared with those computed by the analysis of a classical PID controller. Finally, simulations with Simulink package are presented to compare the two methodologies.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-020-00424-w