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Two Improved Artificial Bee Colony Algorithms Inspired by Grenade Explosion Method

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Emerging Intelligent Computing Technology and Applications (ICIC 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 375))

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Abstract

In order to enhance the original artificial bee colony (ABC) algorithm’s exploitation ability, two improved versions of ABC inspired by grenade explosion method (GEM), namely GABC1 and GABC2, are proposed. GEM is embedded in the employed bees’ phase of GABC1, whereas it is embedded in the onlookers’ phase of GABC2. The performance differences between GABC1 and GABC2 are assessed on five well-known benchmark functions and compared with that of ABC by analyzing the effect of different limit values. All the experimental results show that GABC2 greatly outperforms ABC on all the five functions. Although GABC1 has similar or better performance than GABC2 in most cases, GABC2 performs more robust and effective than GABC1.

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Author information

Authors and Affiliations

  1. Glorious Sun School of Business and Management, Donghua University, Shanghai, China

    Chaoqun Zhang & Jianguo Zheng

  2. College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, China

    Chaoqun Zhang & Yongquan Zhou

Authors
  1. Chaoqun Zhang
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  2. Jianguo Zheng
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  3. Yongquan Zhou
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208 016, Kanpur, India

    Phalguni Gupta

  3. Tsinghua University, Beijing, China

    Ling Wang

  4. Department of Biotechnology, Indian Institute of Technology Madras, 600 036, Chennai, Tamilnadu, India

    Michael Gromiha

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, C., Zheng, J., Zhou, Y. (2013). Two Improved Artificial Bee Colony Algorithms Inspired by Grenade Explosion Method. In: Huang, DS., Gupta, P., Wang, L., Gromiha, M. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2013. Communications in Computer and Information Science, vol 375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39678-6_17

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  • DOI: https://doi.org/10.1007/978-3-642-39678-6_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39677-9

  • Online ISBN: 978-3-642-39678-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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