Abstract
Aiming at the problems of slow convergence speed and easy to fall into local optimum in the traditional fireworks algorithm, this paper combines the chaotic mapping strategy with the adaptive explosion radius, and proposes a combined chaotic fireworks algorithm (Combinatorial Chaos Fireworks Algorithm, CCFWA). The algorithm is applied to the optimal formation configuration of space-based radar. Compared with the traditional chaotic mapping strategy, the combined chaotic system can distribute the initial value more evenly in the solution space, and the explosion radius can be adaptively changed according to the fitness, which ensures the search accuracy of the fireworks algorithm in the local search, and satisfies the Diversity of global search. The experimental results show that the optimal formation configuration of the space-based radar calculated by the combined chaotic fireworks algorithm is better than the calculation value of the traditional fireworks algorithm.
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References
Wen, Y.: Research on Millimeter Wave Wireless Channel Modeling Based on Genetic Algorithm and Grey Theory. North China Electric Power University, Beijing (2021). https://doi.org/10.27140/d.cnki.ghbbu.2021.001279
Rajendran, C., Ziegler, H.: Ant-colony algorithms for permutation flowshop scheduling to minimize makespan/total flowtime of jobs. Eur. J. Oper. Res. 155(2), 426–438 (2004)
Mirjalili, S., Mirjalili, S.M., Lewis, A., et al.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46–61 (2014)
Xue, J., Shen, B.: A novel swarm intelligence optimization approach: sparrow search algorithm. Syst. Sci. Control Eng. Open Access J. 8(1), 22–34 (2020)
Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. In: Science, p. 220 (1982)
Nematollahi, A.F., Rahiminejad, A., Vahidi, B.: A novel physical based meta-heuristic optimization method known as lightning attachment procedure optimization. Appl. Soft Comput. 59, 596–621 (2017)
Xiuwu, Y., Ke, Z., Yong, L.: WSN localization algorithm based on penalty function and water wave optimization. J. Beijing Univ. Posts Telecommun. 43(04), 106–112 (2020). https://doi.org/10.13190/j.jbupt.2019-193
Zheng, S., Tan, Y.: Dynamic search in fireworks algorithm. In: Proceedings of the 2014 IEEE Congress on Evolutionary Computation, Beijing, China, pp. 3222–3229 (2014)
Li, J., Zheng, S., Tan, Y.: Adaptive fireworks algorithm. In: Evolutionary Computation, pp. 3214–3221 (2014)
Tao, X.H., Chen, J.L., Xie, X.L.: Improved firework algorithm with directional function. Comput. Eng. Des. (2019)
Zhang, S.P., Li, Y.J., Gao, D., Liang, W.: Enhanced fireworks algorithm with dynamic explosion radius. Comput. Eng. Appl. 56(18), 50–57 (2020)
Li, J., Zheng, S., Tan, Y.: The effect of information utilization: introducing a novel guiding spark in the fireworks algorithm. IEEE Trans. Evol. Comput. 21(1), 153–166 (2017)
Yu, D.H., Guo, M.Z., Liu, X.Y., et al.: An improved selection strategy of firework algorithm. Control Decis. 2, 7 (2020)
Zhang, X., Wei, K., Jiang, W.: A n-dimensional combined chaotic map and its performance analysis. J. Xi’an Univ. Posts Telecommun. 25(06), 52–62 (2020). https://doi.org/10.13682/j.issn.2095-6533.2020.06.006
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Yuan, K., Jin, H., Li, H. (2023). Optimization of Formation Configuration of Space-Based Radar Networking Based on Combined Chaotic Fireworks Algorithm. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_4
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DOI: https://doi.org/10.1007/978-981-99-0479-2_4
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