Abstract
In this paper, a new flower pollination algorithm based on beetle antennae search method (TBFPA) is proposed to deal with the slow convergence speed problem of traditional flower pollination algorithm. Specifically, after the new individuals are generated by the way of flower pollination algorithm, the beetle antennae search method is used to search the nearby solution space of the new individuals, thus increasing the probability to reach better solutions and speeding up the convergence speed of the algorithm. In addition, a new uniform distribution sampling method is used to generate the initial population so as to spread the initial solutions all over the solution space. In order to verify the effectiveness of TBFPA, different standard functions are tested between TBFPA and FPA algorithms and the results proved that TBFPA has faster convergence speed and stronger global searchability.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yang, X.S.: Flower pollination algorithm for global optimization. Unconventional Computation and Natural Computation. Lecture Notes in Computer Science, vol. 7445, pp. 240–249 (2012)
Zhou, Y., Wang, Luo, Q.: Elite opposition-based flower pollination algorithm. Neurocomputin 188, 94–310 (2016)
Xiao, H., Wan, C., Duan, Y., Tan, Q.: Flower pollination algorithm based on gravity search mechanism. J. Automatica Sinica 43(4), 576–594 (2017)
Xiao, H.: A flower pollination algorithm based on simplex method and self-adaptive step. Comput. Eng. Sci. 38(10), 2126–2133 (2016)
Jiang, X.Y., Li, S.: BAS: Beetle antennae search algorithm for optimization problems. Int. J. Robot. Control 1(1), 1–4 (2018)
Chen, T., Yin, H., Jiang, H.: Particle Swarm optimization algorithm based on Beetle Antennae search for solving portfolio problem. Comput. Syst. Appl. 28(2), 171–176 (2019)
Zhao, Y., Qian, Q.: Novel Chaos Beetle Swarm searching algorithm with learning and competitive strategies. Commun. Technol. 51(11), 60–66 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhou, J., Qian, Q., Fu, Y., Feng, Y. (2022). Flower Pollination Algorithm Based on Beetle Antennae Search Method. In: Jain, L.C., Kountchev, R., Hu, B., Kountcheva, R. (eds) Smart Communications, Intelligent Algorithms and Interactive Methods. Smart Innovation, Systems and Technologies, vol 257. Springer, Singapore. https://doi.org/10.1007/978-981-16-5164-9_22
Download citation
DOI: https://doi.org/10.1007/978-981-16-5164-9_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5163-2
Online ISBN: 978-981-16-5164-9
eBook Packages: EngineeringEngineering (R0)