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SCIENCE CHINA Information Sciences, Volume 64 , Issue 3 : 139203(2021) https://doi.org/10.1007/s11432-018-9923-6

A novel adaptive pigeon-inspired optimization algorithm based on evolutionary game theory

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  • ReceivedDec 14, 2018
  • AcceptedMay 30, 2019
  • PublishedApr 14, 2020

Abstract

There is no abstract available for this article.


References

[1] Duan H B, Qiao P X. Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning. Int Jnl Intel Comp Cyber, 2014, 7: 24-37 CrossRef Google Scholar

[2] Duan H B, Qiu H X, Fan Y M. Unmanned aerial vehicle formation cooperative control based on predatory escaping pigeon-inspired optimization. SCIENTIA SINICA Technologica, 2015, 45: 559-572. Google Scholar

[3] Smith J M, Price G R. The Logic of Animal Conflict. Nature, 1973, 246: 15-18 CrossRef ADS Google Scholar

[4] Smith J M. The theory of games and the evolution of animal conflicts. J Theor Biol, 1974, 47: 209-221 CrossRef Google Scholar

[5] Smith J M. Evolution and the Theory of Games. Cambridge: Cambridge University Press, 1982. 41--45. Google Scholar

[6] Taylor P D, Jonker L B. Evolutionary stable strategies and game dynamics. Math Biosci, 1978, 40: 145-156 CrossRef Google Scholar

[7] Liang J J, Qu B Y, Suganthan P N, et al. Problem definitions and evaluation criteria for the CEC 2013 special session on real-parameter optimization. In: Proceedings of IEEE Congress on Evolutionary Computation, Mexico, 2013. Google Scholar

[8] Yang Z Y, Duan H B, Fan Y M. Automatic Carrier Landing System multilayer parameter design based on Cauchy Mutation Pigeon-Inspired Optimization. Aerospace Sci Tech, 2018, 79: 518-530 CrossRef Google Scholar

[9] Zhang D F, Duan H B. Social-class pigeon-inspired optimization and time stamp segmentation for multi-UAV cooperative path planning. Neurocomputing, 2018, 313: 229-246 CrossRef Google Scholar