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Author:

Xu, L. (Xu, L..) | Tu, C.-Y. (Tu, C.-Y..)

Indexed by:

Scopus PKU CSCD

Abstract:

IGA (Improved Genetic Algorithm), a new genetic algorithm, is proposed. With five additional steps which are hybrid selection operator, competition among brothers, greedy operation, filter operation, and dynamic supply new individuals, IGA can improve global convergence property and convergence speed. The experimental results show IGA has great advantage over many existing genetic algorithms.

Keyword:

Competition among brothers; Convergence speed; Filter operation; Genetic algorithm

Author Community:

  • [ 1 ] [Xu, L.]Dept. of Elec. Eng., Beijing Polytech. Univ., Beijing 100022, China
  • [ 2 ] [Tu, C.-Y.]Dept. of Elec. Eng., Beijing Polytech. Univ., Beijing 100022, China

Reprint Author's Address:

  • [Xu, L.]Dept. of Elec. Eng., Beijing Polytech. Univ., Beijing 100022, China

Email:

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Source :

Acta Electronica Sinica

ISSN: 0372-2112

Year: 2001

Issue: 7

Volume: 29

Page: 902-904

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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