An improved quantum genetic algorithm and its application

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2639, Issue , 2003, Pages 449-452

  Zhang, Gexiang ^a   Jin, Weidong ^a   Li, Na ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FILTRATION; FIR FILTERS; FUZZY SETS; GENETIC ALGORITHMS; GRANULAR COMPUTING; ROUGH SET THEORY; COMPUTER SIMULATION;

CONVERGENT SPEED; FIR FILTER DESIGN; FUNCTION TESTS; ITS APPLICATIONS; QUANTUM GATES; QUANTUM GENETIC ALGORITHM;

DATA MINING; GENETIC ALGORITHMS;

IMPROVED QUANTUM GENETIC ALGORITHM (IQGA); POPULATION CATASTROPE; QUANTUM GATE;

EID: 8344238871     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_75     Document Type: Conference Paper

References (5)

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3. K. H. Han, K. H. Park, C. H. Lee & J. H. Kim, Parallel quantum-inspired genetic algorithm for combinatorial optimization problems, Proceedings of IEEE International Conference on Evolutionary Computation, 2001, 1442–1429
4. Tu Chengyuan, Tu Chengyu, A new genetic algorithm converging to the globally-optimal solution [J], Information and Control, 2001,30(2): pp116–138
5. Cheng Xiaoping, Yu Shenglin, FIR filter design: frequency sampling technique based on genetic algorithm [J], Journal of Nanjing University of Aeronautics & Astronautics, 2000,32(3): pp276–281