An improved STA

版本 1.0.2 (326.0 KB) 作者: Michael
This is an improved State Transition Algorithm (STA). An optimal parameters selection strategy is proposed to accelerate its search process.
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更新时间 2023/2/26

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State transition algorithm (STA) has been emerging as a novel metaheuristic method for global optimization in recent few years. In previous version, the parameter of transformation operator in continuous STA is kept constant or decreasing itself in a periodical way. In this improved version, the optimal parameter selection of the STA is taken in consideration.
References:
[1] Zhou X, Yang C, Gui W. A statistical study on parameter selection of operators in continuous state transition algorithm[J]. IEEE Transactions on Cybernetics, 2019 49(10): 3722-3730.

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Michael (2024). An improved STA (https://www.mathworks.com/matlabcentral/fileexchange/69721-an-improved-sta), MATLAB Central File Exchange. 检索来源 .

Zhou X, Yang C, Gui W. A statistical study on parameter selection of operators in continuous state transition algorithm[J]. IEEE Transactions on Cybernetics, 2019 49(10): 3722-3730.

Zhou, Xiaojun, et al. “A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm.” IEEE Transactions on Cybernetics, vol. 49, no. 10, Institute of Electrical and Electronics Engineers (IEEE), Oct. 2019, pp. 3722–30, doi:10.1109/tcyb.2018.2850350.

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