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A behavior-selection based Rao algorithm and its applications to power system economic load dispatch problems

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Abstract

To improve the search efficiency of Rao algorithm, a behavior-selection based Rao Algorithm is proposed in this paper. Our proposed algorithm is a parameter-less and metaphor-less algorithm, which has three major improvements. (i) Three perturbation operators for offspring population are proposed to effectively balance algorithm exploitation and exploration capability. (ii) A behavior selection strategy is proposed for evaluating the three new perturbation operators and the original operators of Rao Algorithms. The upper confidence bound algorithm is modified and used for calculating the future value of the operators. (iii) A new mapping strategy is designed to increase the diversity of the solutions. The behavior-selection based Rao algorithm is tested based on some benchmark functions and the power system economic load dispatch problems, compared to the other well-known algorithms, the proposed algorithm has a competitive superiority in terms of convergence performance and global search capability.

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Acknowledgements

The authors would like to express their sincere thanks to P. N. Suganthan for the useful information about meta-heuristic algorithms and optimization problems on their home webpages. This work is supported by National Nature Science Foundation of China (Grant No. 61806058), Natural Science Foundation of Guangdong Province (2018A030310063), Guangzhou Science and Technology Plan Project (201804010299).

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Authors and Affiliations

  1. School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, 510006, China

    Wenqi Wei, Haibin Ouyang & Wenqiang Wu

  2. Graduate School of Business and Law, RMIT University, Melbourne, 3000, Australia

    Steven Li

  3. School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, China

    Dexuan Zou

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  1. Wenqi Wei
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  2. Haibin Ouyang
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  4. Steven Li
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  5. Dexuan Zou
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Wei, W., Ouyang, H., Wu, W. et al. A behavior-selection based Rao algorithm and its applications to power system economic load dispatch problems. Appl Intell 52, 11966–11999 (2022). https://doi.org/10.1007/s10489-021-02849-7

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