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Flower Pollination Algorithm with Dimension by Dimension Improvement

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  • Rui Wang
  • Yongquan Zhou

Abstract

Flower pollination algorithm (FPA) is a new nature-inspired intelligent algorithm which uses the whole update and evaluation strategy on solutions. For solving multidimension function optimization problems, this strategy may deteriorate the convergence speed and the quality of solution of algorithm due to interference phenomena among dimensions. To overcome this shortage, in this paper a dimension by dimension improvement based flower pollination algorithm is proposed. In the progress of iteration of improved algorithm, a dimension by dimension based update and evaluation strategy on solutions is used. And, in order to enhance the local searching ability, local neighborhood search strategy is also applied in this improved algorithm. The simulation experiments show that the proposed strategies can improve the convergence speed and the quality of solutions effectively.

Suggested Citation

  • Rui Wang & Yongquan Zhou, 2014. "Flower Pollination Algorithm with Dimension by Dimension Improvement," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-9, September.
    • Handle: RePEc:hin:jnlmpe:481791
    DOI: 10.1155/2014/481791
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    Cited by:

    1. Rezzy Eko Caraka & Robert Kurniawan & Bahrul Ilmi Nasution & Jamilatuzzahro Jamilatuzzahro & Prana Ugiana Gio & Mohammad Basyuni & Bens Pardamean, 2021. "Micro, Small, and Medium Enterprises’ Business Vulnerability Cluster in Indonesia: An Analysis Using Optimized Fuzzy Geodemographic Clustering," Sustainability, MDPI, vol. 13(14), pages 1-17, July.

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