A Developed Artificial Bee Colony Algorithm Based on Cloud Model

The Artificial Bee Colony (ABC) algorithm is a bionic intelligent optimization method. The cloud model is a kind of uncertainty conversion model between a qualitative concept T˜T˜ that is presented by nature language and its quantitative expression, which integrates probability theory and the fuzzy...

Full description

Saved in:
Bibliographic Details
Published inMathematics (Basel) Vol. 6; no. 4; p. 61
Main Authors Jin, Ye, Sun, Yuehong, Ma, Hongjiao
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 18.04.2018
Subjects
Algorithms
artificial bee colony algorithm (ABC)
Basic converters
Bionics
cloud model
Clouds
Food science
global optimum
Model accuracy
normal cloud model
Probability theory
Search algorithms
Swarm intelligence
Y conditional cloud generator
Online AccessGet full text

Cover

More Information
Summary:The Artificial Bee Colony (ABC) algorithm is a bionic intelligent optimization method. The cloud model is a kind of uncertainty conversion model between a qualitative concept T˜T˜ that is presented by nature language and its quantitative expression, which integrates probability theory and the fuzzy mathematics. A developed ABC algorithm based on cloud model is proposed to enhance accuracy of the basic ABC algorithm and avoid getting trapped into local optima by introducing a new select mechanism, replacing the onlooker bees’ search formula and changing the scout bees’ updating formula. Experiments on CEC15 show that the new algorithm has a faster convergence speed and higher accuracy than the basic ABC and some cloud model based ABC variants.
ISSN:2227-7390
2227-7390
DOI:10.3390/math6040061