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14 April 2022 Improved adaptive water circulation algorithm based on chaotic
Ting Liu, Jing Yang, Ruonan Yin, Jingrong Song
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Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121781T (2022) https://doi.org/10.1117/12.2632011
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China
Abstract
To address the shortcomings of the water circulation algorithm, which is prone to fall into local optimum and slow convergence, an improved adaptive water circulation algorithm based on chaotic is proposed. Firstly, introducing cubic mapping into the initialization and rainfall process of the water cycle algorithm to improve the quality and population diversity of the initial solution.Secondly, replacing the original fixed step size with an adaptive step size to balance the relationship between exploitation and exploration and to improve the convergence speed of the algorithm.Finally, the improved algorithm is tested against the original algorithm by 10 benchmark functions. The simulation shows that the improved algorithm has a strong ability to jump out of the local optimum in high-dimensional functions, and has a fast convergence speed, high accuracy of the algorithm and good robustness.
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Ting Liu, Jing Yang, Ruonan Yin, and Jingrong Song "Improved adaptive water circulation algorithm based on chaotic", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121781T (14 April 2022); https://doi.org/10.1117/12.2632011
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KEYWORDS
Computer simulations
Optimization (mathematics)
Chaos
Computer programming
MATLAB
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