Parallel quantum-inspired genetic algorithm for combinatorial optimization problem

Proceedings of the IEEE Conference on Evolutionary Computation, ICEC

Volumn 2, Issue , 2001, Pages 1422-1429

  Han, K H ^a   Park, K H ^a   Lee, C H ^a   Kim, J H ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CHROMOSOMES; OPTIMIZATION; PROBABILISTIC LOGICS; QUANTUM THEORY;

QUANTUM-INSPIRED GENETIC ALGORITHMS (QGA);

GENETIC ALGORITHMS;

EID: 0034867766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Genetic quantum algorithm and its application to combinatorial optimization problem
2. Designing scalable multi-population parallel genetic algorithms
3. The distributed genetic algorithm revisited
4. Serial and parallel genetic algorithms as function optimizers
5. Structure and performance of fine-grain parallelism in genetic search
6. Quantum computing: An introduction
7. Quantum computing for beginners
8. Representation, constraint satisfaction and the knapsack problem
9. Topology and migration policy of fine-grained parallel evolutionary algorithms for numerical optimization
10. Evolutionary programming techniques for constrained optimization problems