A Developed Artificial Bee Colony Algorithm Based on Cloud Model

Ye Jin, Yuehong Sun and Hongjiao Ma
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Ye Jin: School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China
Yuehong Sun: School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China
Hongjiao Ma: School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China

Mathematics, 2018, vol. 6, issue 4, 1-18

Abstract: 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.

Keywords: artificial bee colony algorithm (ABC); cloud model; normal cloud model; Y conditional cloud generator; global optimum (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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