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author:

Lu, S.-Y. (Lu, S.-Y..) [1] | Zheng, X.-M. (Zheng, X.-M..) [2] | Wang, X.-D. (Wang, X.-D..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

Enlightened by biological immune system, this paper applies the idea of vaccine extraction and vaccination, this paper proposes quantum-behaved particle swarm optimization with immunity algorithm (IQPSO). In this algorithm, vaccination can guide the particles to evolve towards much better direction. Experiments show that attribute reduction based on IQPSO algorithm achieve much better result both in convergence speed and optimization capabilities in comparison with other algorithms, such as Hu algorithm, particle swarm optimization, and quantum-behaved particle swarm optimization.

Keyword:

Attribute reduction; Immunity; PSO; Quantum; Rough set

Community:

  • [ 1 ] [Lu, S.-Y.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
  • [ 2 ] [Zheng, X.-M.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
  • [ 3 ] [Wang, X.-D.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China

Reprint 's Address:

  • [Lu, S.-Y.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China

Email:

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Source :

Journal of the University of Electronic Science and Technology of China

ISSN: 1001-0548

Year: 2007

Issue: 6

Volume: 36

Page: 1268-1272

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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