| 1. | The application of evolutionary computations in bioinformatics
进化计算在生物信息学中的应用 |
| 2. | Application of mind evolutionary computation in image recognition
思维进化计算在图像识别中的应用 |
| 3. | A lyapunov function is established for the global stability analysis
其次是基于进化计算的算法。 |
| 4. | Dynamic mutation ratio and multi - population in evolutionary algorithms
动态变异率的多群体进化计算 |
| 5. | 10 zhang wx , liang y . mathematical foundation of genetic algorithms
因而本文提出的算法并非是对进化计算的改进。 |
| 6. | 2 . evolutionary algorithms are discussed in the field of data mining
2 .在数据挖掘领域，论文集中探讨了进化计算的具体算法和应用。 |
| 7. | A generalized evolutionary model based on genetic algorithm and mind evolutionary computation
基于遗传算法与思维进化计算的一种广义进化模型 |
| 8. | The evolutionary algorithms was brought forward for improving communication of different ea at the begining of 90 "
进化计算是九十年代初为了促进不同模拟生物进化算法之间的交流而提出的。 |
| 9. | So our work can be seen as a good try of evolutionary computation for more application in the field of image processing
该项工作为进化计算在图像处理领域的进一步应用进行了有益的探索和尝试。 |
| 10. | In order to understand ga preferably , this paper introduce the evolutionary algorithms ( ea ) which is closely related with ga
为了更好的理解遗传算法，本文还对与遗传算法密切相关的进化计算作了介绍。 |
