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A Clustering-Based Artificial Bee Colony Algorithm

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Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2016, SCS AutumnSim 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 643))

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Abstract

An advanced Artificial Bee Colony (ABC) algorithm based on fuzzy C-means (FCM) clustering method is presented in this paper, aiming to make a balance between the exploitation and exploration. Firstly, FCM method is employed to divide the population into subpopulations, so that individuals only interact with those in the same subpopulation. Furthermore, the idea of overlapping area has been introduced to the clustering partition, in order to promote the information sharing among different subpopulations. Inspired from the fact that elitist can accelerate convergence, two modified search mechanism has been proposed. The results of experiments based on a set of benchmark functions indicate that our approach is efficient and effective when comparing with some state-of-the-art ABCs.

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Acknowledgement

This project is supported by National Hi-tech Research and Development Program of China (863 Program, Grant No. 2014AA041505), the National Science Foundation of China (61572238), the Provincial Outstanding Youth Foundation of Jiangsu Province (BK20160001).

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Authors and Affiliations

  1. Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, 214122, China

    Ming Zhang, Na Tian, Zhicheng Ji & Yan Wang

Authors
  1. Ming Zhang
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  2. Na Tian
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  3. Zhicheng Ji
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  4. Yan Wang
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Corresponding author

Correspondence to Ming Zhang .

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Editors and Affiliations

  1. Beihang University, Beijing, China

    Lin Zhang

  2. Beihang University, Beijing, China

    Xiao Song

  3. Beihang University, Beijing, China

    Yunjie Wu

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© 2016 Springer Science+Business Media Singapore

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Zhang, M., Tian, N., Ji, Z., Wang, Y. (2016). A Clustering-Based Artificial Bee Colony Algorithm. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 643. Springer, Singapore. https://doi.org/10.1007/978-981-10-2663-8_11

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  • DOI: https://doi.org/10.1007/978-981-10-2663-8_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2662-1

  • Online ISBN: 978-981-10-2663-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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