A pigeon-inspired optimization algorithm for many-objective optimization problems

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References

  1. 1

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

    MathSciNet  Article  Google Scholar 

  2. 2

    Qiu H X, Duan H B. Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design. Sci China Technol Sci, 2015, 58: 1915–1923

    Article  Google Scholar 

  3. 3

    Lin Q, Liu S, Zhu Q, et al. Particle swarm optimization with a balanceable fitness estimation for manyobjective optimization problems. IEEE Trans Evol Comput, 2018, 22: 32–46

    Article  Google Scholar 

  4. 4

    Deb K, Jain H. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach. Part I: solving problems with box constraints. IEEE Trans Evol Comput, 2014, 18: 577–601

    Google Scholar 

  5. 5

    Yang S, Li M, Liu X, et al. A grid-based evolutionary algorithm for many-objective optimization. IEEE Trans Evol Comput, 2013, 17: 721–736

    Article  Google Scholar 

  6. 6

    Bader J, Zitzler E. HypE: an algorithm for fast hypervolume-based many-objective optimization. Evolary Comput, 2011, 19: 45–76

    Article  Google Scholar 

  7. 7

    Zhang X, Tian Y, Jin Y. A knee point-driven evolutionary algorithm for many-objective optimization. IEEE Trans Evol Comput, 2015, 19: 761–776

    Article  Google Scholar 

  8. 8

    Zhang Q F, Li H. MOEA/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput, 2007, 11: 712–731

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61806138, U1636220, 61663028, 61702040), Natural Science Foundation of Shanxi Province (Grant No. 201801D121127), Scientific and Technological Innovation Team of Shanxi Province (Grant No. 201805D131007), Ph.D. Research Startup Foundation of Taiyuan University of Science and Technology (Grant No. 20182002), and Beijing Natural Science Foundation (Grant No. 4174089).

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Correspondence to Xingjuan Cai.

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Cui, Z., Zhang, J., Wang, Y. et al. A pigeon-inspired optimization algorithm for many-objective optimization problems. Sci. China Inf. Sci. 62, 70212 (2019). https://doi.org/10.1007/s11432-018-9729-5

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