| 1. | Application of genetic simulated annealing algorithm in reservoir property modeling
遗传模拟退火算法在储层属性建模中的应用 |
| 2. | Application of mixed genetic - simulated annealing algorithms to slope stability analysis
遗传模拟退火算法在边坡稳定分析中的应用 |
| 3. | Gasa ( genetic annealing simulated algorithm ) is introduced into gcs ( geometry constraint solving )
提出了将遗传模拟退火算法应用于约束求解中。 |
| 4. | The research on maneuvering multiple targets data association problem with genetic simulated annealing algorithms
基于遗传模拟退火算法的机动多目标数据关联问题研究 |
| 5. | The optimization solution in the ordering and transporting of steel tube on genetic simulated annealing algorithm
基于遗传模拟退火算法的钢管订购和运输优化问题求解 |
| 6. | Based on the features of distribution network , the improved genetic simulated annealing algorithm is used in network reconfiguration
在考虑配电网自身特点的基础上，利用改进遗传模拟退火算法求解。 |
| 7. | On the other hand , the property of genetic algorithm improved by simulated annealing algorithm for finding the best value is studied in this paper
其次，本论文对遗传模拟退火算法的寻优性能进行了研究。 |
| 8. | In the paper , the crosser and mutation in the genetic simulated annealing algorithm were improved , and the optimized reserved strategy was used to form the improved genetic simulated annealing algorithm
摘要对遗传模拟退火算法中的交叉、变异操作进行了改进，并实施了最优保留策略，形成了改进遗传模拟退火算法。 |
| 9. | Genetic algorithm , simulated algorithm and genetic algorithm improved by simulated annealing algorithm are described and their abilities of finding the best value are analyzed in this paper
本文从理论上阐述了遗传算法、模拟退火算法和遗传模拟退火算法的生物基础和构成要素，分析了它们的寻优速度、收敛能力等特性。 |
| 10. | According to the respective performance of genetic algorithm and simulated annealing algorithm , we proposed a new algorithm for sensor scheduling of early warning satellite , i . e . , genetic and simulated annealing algorithm ( gasa )
结合遗传算法和模拟退火算法的特点，提出了一种新的解决导弹预警卫星传感器调度问题的遗传模拟退火算法( gasa ) 。 |
