Abstract
This paper proposes an improved bacterial forging optimization with differential tumble, perturbation, and cruising mechanisms, abbreviated as DPCBFO. In DPCBFO, the differential information between the population and the optimal individual is used to guide the tumble direction of the bacteria. The strategy of perturbation is employed to enhance the global search ability of the bacteria. While a new cruising mechanism is proposed in this study to improve the possibility of searching for the optimal by comparing the current position with the others obtained in the next chemotaxis steps. In addition, to reduce the computation complexity, the vectorized parallel evaluation is applied in the chemotaxis process. The performance of the proposed DPCBFO is evaluated on eight well-known benchmark functions. And the simulation results illustrate that the proposed DPCBFO achieves the superior performance on all functions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Passino, K.M.: Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Syst. 22(3), 52–67 (2002)
Panda, R., Naik, M.K.: A novel adaptive crossover bacterial foraging optimization algorithm for linear discriminant analysis based face recognition. Appl. Soft Comput. 30(C), 722–736 (2015)
Chen, Y.P., Li, Y., Wang, G., Zheng, Y.F., Xu, Q., Fan, J.H., et al.: A novel bacterial foraging optimization algorithm for feature selection. Expert Syst. Appl. Int. J. 83(C), 1–17 (2017)
Tan, L., Lin, F., Wang, H.: Adaptive comprehensive learning bacterial foraging optimization and its application on vehicle routing problem with time windows. Nat. Comput. 151(3), 1208–1215 (2015)
Tan, L.J., Yi, W.J., Yang, C., Feng, Y.Y.: Adaptive structure-redesigned-based bacterial foraging optimization. In: Huang, D.-S., Jo, K.-H. (eds.) ICIC 2016. LNCS, vol. 9772, pp. 897–907. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42294-7_80
Chen, H., Niu, B., Ma, L., Su, W., Zhu, Y.: Bacterial colony foraging optimization. Nat. Comput. 137(2), 268–284 (2014)
Zhao, W., Wang, L.: An effective bacterial foraging optimizer for global optimization. Inf. Sci. 329, 719–735 (2015)
Niu, B., Liu, J., Wu, T., Chu, X.H., Wang, Z.X., Liu, Y.M.: Coevolutionary structure-redesigned-based bacterial foraging optimization. IEEE/ACM Trans. Comput. Biol. Bioinform. PP (99), 1 (2017)
Tang, K., Xiao, X., Wu, J., Yang, J., Luo, L.: An improved multilevel thresholding approach based modified bacterial foraging optimization. Appl. Intell. 46(1), 1–13 (2017)
Yang, C., Ji, J., Liu, J., Yin, B.: Bacterial foraging optimization using novel chemotaxis and conjugation strategies. Inf. Sci. Int. J. 363(C), 72–95 (2016)
Mallipeddi, R., Suganthan, P.N., Pan, Q.K., Tasgetiren, M.F.: Differential evolution algorithm with ensemble of parameters and mutation strategies. Appl. Soft Comput. 11(2), 1679–1696 (2011)
Niu, B., Liu, J., Zhang, F., Yi, W.: A cooperative structure-redesigned-based bacterial foraging optimization with guided and stochastic movements. In: Huang, D.-S., Jo, K.-H. (eds.) ICIC 2016. LNCS, vol. 9772, pp. 918–927. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42294-7_82
Niu, B.: Bacterial Colony Optimization and Bionic Management. Science Press (2014)
Wang, H., Zuo, L., Liu, J., Yang, C., Li, Ya., Baek, J.: A comparison of heuristic algorithms for bus dispatch. In: Tan, Y., Takagi, H., Shi, Y., Niu, B. (eds.) ICSI 2017. LNCS, vol. 10386, pp. 511–518. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61833-3_54
Acknowledgment
This work is partially supported by The National Natural Science Foundation of China (Grants No. 61472257), Natural Science Foundation of Guangdong Province (2016A030310074). Lu Xiao and Jinsong Chen contributed equally to this paper and shared the first authorship.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Xiao, L., Chen, J., Zuo, L., Wang, H., Tan, L. (2018). Differential Structure-Redesigned-Based Bacterial Foraging Optimization. In: Tan, Y., Shi, Y., Tang, Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science(), vol 10941. Springer, Cham. https://doi.org/10.1007/978-3-319-93815-8_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-93815-8_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93814-1
Online ISBN: 978-3-319-93815-8
eBook Packages: Computer ScienceComputer Science (R0)