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Towards Information Sharing Beetle Antennae Search Optimization

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Algorithms and Architectures for Parallel Processing (ICA3PP 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15252))

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Abstract

The study of bioinformatics-based evolutionary computation has long been of significant interest within the scientific community. Beetle antennae search algorithm is widely used because of its lightweight, however, it lacks information sharing due to individual iteration in the algorithm. In this paper, we propose an innovative pheromone-based beetle antennae search algorithm, which evolves from a single iterative individual in BAS algorithm to multiple parallel iterative individuals and incorporates the pheromone sharing mechanism found in ant colony optimization algorithm. Applying the pheromone-based beetle antennae search algorithm to the virtual machine placement problem in cloud computing, we find that pheromone sharing mechanism allows the PB-BAS algorithm to exhibit superior optimization capabilities and effectively avoids convergence to local optimal. To verify the performance of the algorithm, we select other alternative algorithms and conduct a large number of comparative experiments under different experimental setups, the experimental results show the effectiveness and efficiency of our algorithm.

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Author information

Authors and Affiliations

  1. Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, China

    Xuan Liu, Chenyan Wang & Yutong Gao

  2. Hainan International College of Minzu University of China, Li’an International Education Innovation pilot Zone, Hainan, China

    Xuan Liu, Chenyan Wang & Yutong Gao

  3. City University of Macau, Macau SAR, China

    Wenjian Liu & Lefeng Zhang

  4. Natural Language Processing and Knowledge Graph Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

    Xianggan Liu

Authors
  1. Xuan Liu
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  2. Chenyan Wang
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  3. Wenjian Liu
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  4. Lefeng Zhang
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  5. Xianggan Liu
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  6. Yutong Gao
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Corresponding author

Correspondence to Yutong Gao .

Editor information

Editors and Affiliations

  1. City University of Macau, Macau, China

    Tianqing Zhu

  2. Guangzhou University, Guangzhou, China

    Jin Li

  3. University of Salerno, Fisciano, Italy

    Aniello Castiglione

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Liu, X., Wang, C., Liu, W., Zhang, L., Liu, X., Gao, Y. (2025). Towards Information Sharing Beetle Antennae Search Optimization. In: Zhu, T., Li, J., Castiglione, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2024. Lecture Notes in Computer Science, vol 15252. Springer, Singapore. https://doi.org/10.1007/978-981-96-1528-5_19

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  • DOI: https://doi.org/10.1007/978-981-96-1528-5_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-96-1527-8

  • Online ISBN: 978-981-96-1528-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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