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Article

A Developed Artificial Bee Colony Algorithm Based on Cloud Model

by 1, 1,2,* and 1
1
School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China
2
Jiangsu Key Laboratory for NSLSCS, Nanjing Normal University, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Mathematics 2018, 6(4), 61; https://doi.org/10.3390/math6040061
Received: 11 March 2018 / Revised: 7 April 2018 / Accepted: 10 April 2018 / Published: 18 April 2018
(This article belongs to the Special Issue Evolutionary Computation)
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 ˜ 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. View Full-Text
Keywords: artificial bee colony algorithm (ABC); cloud model; normal cloud model; Y conditional cloud generator; global optimum artificial bee colony algorithm (ABC); cloud model; normal cloud model; Y conditional cloud generator; global optimum
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MDPI and ACS Style

Jin, Y.; Sun, Y.; Ma, H. A Developed Artificial Bee Colony Algorithm Based on Cloud Model. Mathematics 2018, 6, 61. https://doi.org/10.3390/math6040061

AMA Style

Jin Y, Sun Y, Ma H. A Developed Artificial Bee Colony Algorithm Based on Cloud Model. Mathematics. 2018; 6(4):61. https://doi.org/10.3390/math6040061

Chicago/Turabian Style

Jin, Ye, Yuehong Sun, and Hongjiao Ma. 2018. "A Developed Artificial Bee Colony Algorithm Based on Cloud Model" Mathematics 6, no. 4: 61. https://doi.org/10.3390/math6040061

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