The implementation of GA processor with multiple operators, based on subpopulation architecture

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

Volumn 4, Issue , 2002, Pages 1680-1683

  Cho, Minsok ^a   Chung, Suckwoo ^a   Chung, Duckjin ^a  

^a Inha University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL EFFICIENCY; GENETIC ALGORITHMS; HARDWARE; INFORMATION SCIENCE; RECONFIGURABLE HARDWARE;

CONVERGENCE STATE; CROSSOVER OPERATOR; GENETIC ALGORITHM PROCESSORS; HARDWARE STRUCTURES; MULTIPLE OPERATOR; STEADY-STATE MODELING; SURVIVAL CONDITIONS; TOURNAMENT SELECTION;

COMPUTER ARCHITECTURE;

EID: 84966373289     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1198961     Document Type: Conference Paper

References (13)

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