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Original Articles

Particle swarm cooperative optimization algorithm based on geometric algebra

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Pages 913-930 | Received 01 Nov 2016, Published online: 20 Sep 2017

References

  • Kennedy J, Eberhart RC. Particle swarm optimization. In: Proc. of the IEEE Conf. on Neural Networks, IV. Perth: IEEE Press, 1995. 1942–1948. http://www.engr.iupui.edu/~shi/Coference/psopap4.html
  • Shi Y, Eberhart RC. A modified particle swarm optimizer. In: Proc. of the IEEE Int’l Conf. of Evolutionary Computation. Piscataway: IEEE Press, 1998. 69–73.
  • Clerc M. The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization. In: Proc. of the ICEC. Washington, 1999. 1951–1957.
  • Shi Y, Eberhart RC. Fuzzy adaptive particle swarm optimization. In: Proc. of the Congress on Evolutionary Computation. Piscataway: IEEE, 2001. 101–106.
  • Angeline PJ. Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences. In: Proc. ofthe 7th Annual Conf. on Evolutionary Programming. Berlin: Springer-Verlag, 1998. 601–610.
  • Lü ZS, Hou ZR. Particle swarm optimization with adaptive mutation. Acta Electronica Sinica, 2004, 32(3):416–420 (in Chinesewith English abstract).
  • van den Bergh F, Engelbrecht AP. Cooperative learning in neural networks using particle swarm optimizers. South African Computer Journal, 2000, (11):84–90.
  • Ratnaweera A, Halgamuge SK, Watson HC. Self-Organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans. on Evolutionary Computation, 2004, 8(3):240–255. doi: 10.1109/TEVC.2004.826071
  • He R, Wang YJ, Wang Q, Zhou JH, Hu CY. An improved particle swarm optimization based on self-adaptive escape velocity. Journal of Software, 2005, 16(12):2036–2044 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/16/2036.htm
  • Clerc M, Kennedy J. The particle swarm: Explosion stability and convergence in a multi-dimensional complex space. IEEE Trans. on Evolution Computer, 2002, 6(1):58–73. doi: 10.1109/4235.985692
  • Trelea IC. The particle swarm optimization algorithm: Convergence analysis and parameter selection. Information ProcessingLetters, 2003, 85(6):317–325. doi: 10.1016/S0020-0190(02)00447-7
  • Van den Bergh F. An analysis of particle swarm optimizers [Ph.D. Thesis]. South Africa: University of Pretoria, 2002.
  • Eberhart RC, Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization. In: Proc. of the 2000Congress on Evolutionary Computation. Piscataway: IEEE, 2000. 84–88.
  • Ke J, Qian JX, Qiao YZ. A modified particle swarm optimization algorithm. Journal of Circuits and System, 2003, 8(5):87–91 (in Chinese with English abstract)

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