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Interactiveartificial Bee Colony Supported Passive Continuous Authentication System

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Abstract

Artificial bee colony (ABC) has been a competitive population-based optimization algorithm in recent years. However, it still faces a challenge that shows slow convergence speed. To address this concerning issue, this chapter proposes two global-best leading algorithms, GLABC-pso and GLABC-de, to accelerate their convergence speed and make a precise search on the condition of guaranteeing their global search abilities. In our algorithms, GLABC-pso and GLABC-DE gets the merits of the Particle Swarm Optimization (PSO) and the Differential Evolution (DE) in the employed bee phase, respectively. Furthermore, both two algorithms utilize the same global-best leading strategy in the onlooker bee phase. To evaluate their performances, a set of benchmark functions are employed in this chapter. Experimental results demonstrate that our methods outperform the state-of-the-art algorithms in terms of solution accuracy and stability.

Keywords

  • Artificial bee colony
  • Global-best leading
  • Convergence rate

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Acknowledgments

The authors acknowledge the support from the National Natural Science Foundation of China (No. 61571236), the Science and Technology on Space Intelligent Control Laboratory (KGJZDSYS-2018-02), the Research Committee of University of Macau (MYRG2015-00011-FST, MYRG2018-00035-FST), the Science and Technology Development Fund of Macau SAR under Grant 041-2017-A1, and Postgraduate Research and Practice Innovation Program of Jiangsu Province (SJCX18_0300, KYCX18_0929).

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Authors and Affiliations

  1. College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China

    Di Zhang & Hao Gao

Editor information

Editors and Affiliations

  1. Fukuoka University, Fukuoka, Japan

    Yujie Li

  2. School of Engineering, Kyushu Institute of Technology, Fukuoka, Japan

    Dr. Huimin Lu

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Zhang, D., Gao, H. (2021). Global-Best Leading Artificial Bee Colony Algorithms. In: Li, Y., Lu, H. (eds) 3rd EAI International Conference on Robotic Sensor Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-46032-7_6

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  • DOI : https://doi.org/10.1007/978-3-030-46032-7_6

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