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An Improved Beetle Antennae Search Algorithm

  • Tianjiang Zhou
  • Qian QianEmail author
  • Yunfa Fu
Conference paper
  • 35 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1060)

Abstract

The Beetle Antennae Search Algorithm has fast convergence speed and global optimization ability in low-dimensional function optimization, but for multi-dimensional functions, the convergence speed and optimization precision of the BAS is relatively low. To overcome these shortcomings, this paper proposes an Improved Beetle Antennae Search Algorithm (IBAS). There are mainly two modifications for BAS. First, in order to accelerate the convergence of the algorithm, an adaptive factor is included. Second, the simulated annealing process is used to enable the algorithm to jump out of the local optimum. Two standard test functions are used for testing and compared with the BAS, BSAS, and SA algorithms. The simulation results show that IBAS has better performance in multi-dimensional function optimization.

Keywords

Beetle Antennae search algorithm Multi-dimensional Function optimization 

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Yunnan Key Laboratory of Computer Technology ApplicationsKunming University of Science and TechnologyKunmingChina

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