| Autor: |
Zhuang Zhen-quan, Yang Jun-an, Li Bin |
| Rok vydání: |
2003 |
| Předmět: |
|
| Zdroj: |
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003. |
| DOI: |
10.1109/icnnsp.2003.1279293 |
| Popis: |
A new genetic algorithm based on the quantum probability representation (GAQPR) is proposed, in which each individual evolves independently; a new crossover operator is designed to integrate searching processes of multiple individuals into a more efficient global searching process; a new mutation operator is also proposed. The algorithm is used to discover frequent structures in time series, experiment results show that the GAQPR is efficient for the complex multi-peak searching problem. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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