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Cluster Computing
Published in: Cluster Computing 2/2019

13-11-2017

A hybrid artificial bee colony algorithm with modified search model for numerical optimization

Authors: Xiuqin Pan, Yong Lu, Na Sun, Sumin Li

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

Artificial bee colony (ABC) is an effective optimization algorithm, which has been used in various practical applications. However, the standard ABC suffers from low accuracy of solutions and slow convergence rate. To address these issues, a hybrid ABC (called HABC) is proposed in this paper. In HABC, two improved strategies are utilized. First, a new search model is designed based on the best-of-random mutation scheme. Second, new solutions are generated by updating multiple dimensions. To verify the performance of HABC, twelve numerical optimization problems are tested in the experiments. Results of HABC are compared the standard ABC and two other improved ABC versions. The comparison show that our approach can effectively improve the optimization performance.
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Metadata
Title
A hybrid artificial bee colony algorithm with modified search model for numerical optimization
Authors
Xiuqin Pan
Yong Lu
Na Sun
Sumin Li
Publication date
13-11-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1343-0

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