Name
Abstract | ||
|---|---|---|
In this work, an allele gene adaptive mutation (AGAM) and a schemata crossover (SC) operators are designed to improve the performance of the conventional genetic algorithm (GA) and applied to the code design. Specifically, the proposed AGAM exploits both global and local information of the population to maintain an appropriate level of diversity throughout the search process. The SC utilizes high-... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TCOMM.2011.031611.070610 | IEEE Transactions on Communications |
Keywords | DocType | Volume |
Biological cells,Gallium,Radio frequency,Convergence,Measurement,Correlation,Optimization | Journal | 59 |
Issue | ISSN | Citations |
5 | 0090-6778 | 3 |
PageRank | References | Authors |
0.41 | 11 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoming Dai | 1 | 100 | 21.23 |