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Generalized pigeon-inspired optimization algorithms

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References

  1. Kennedy J, Eberhart R, Shi Y. Swarm Intelligence. San Francisco: Morgan Kaufmann Publisher, 2001

    Google Scholar 

  2. Duan H B, Qiao P X. Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning. Int J Intell Comput Cyber, 2014, 7: 24–37

    Article  MathSciNet  Google Scholar 

  3. Duan H B, Qiu H X, Fan Y M. Unmanned aerial vehicle close formation cooperative control based on predatory escaping pigeon-inspired optimization. Sci Sin Tech, 2015, 45: 559–572

    Article  Google Scholar 

  4. Shi Y H. An optimization algorithm based on brain-storming process. Int J Swarm Intell Res, 2011, 2: 35–62

    Article  Google Scholar 

  5. Cheng S, Qin Q D, Chen J F, et al. Brain storm optimization algorithm: a review. Artif Intell Rev, 2016, 46: 445–458

    Article  Google Scholar 

  6. Zhang Y, Gong D W, Cheng J. Multi-objective particle swarm optimization approach for cost-based feature selection in classification. IEEE/ACM Trans Comput Biol Bioinf, 2017, 14: 64–75

    Article  Google Scholar 

  7. Cheng S, Zhang Q Y, Qin Q D. Big data analytics with swarm intelligence. Ind Manage Data Syst, 2016, 116: 646–666

    Article  Google Scholar 

  8. Cheng S, Shi Y H, Qin Q D. Population diversity of particle swarm optimizer solving single and multi-objective problems. Int J Swarm Intell Res, 2012, 3: 23–60

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61806119, 61672334, 61671041, 61761136008, 61773119, 61771297, 61703256).

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Correspondence to Hui Lu.

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Cheng, S., Lei, X., Lu, H. et al. Generalized pigeon-inspired optimization algorithms. Sci. China Inf. Sci. 62, 70211 (2019). https://doi.org/10.1007/s11432-018-9727-y

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  • DOI: https://doi.org/10.1007/s11432-018-9727-y