| 1. | Let us dive into the first function optimization
让我们开始优化第一个函数。 |
| 2. | Asynchronous parallel evolutionary algorithm for function optimization
函数优化异步并行演化算法 |
| 3. | Two asynchronous parallel algorithms for function optimization
求解函数优化问题的两种异步并行算法 |
| 4. | Hybrid genetic algorithm for nonlinear function optimization
一种求解非线性函数优化问题的混合遗传算法 |
| 5. | An improved genetic algorithm for solving function optimization problems
一种用于函数优化的改进混合遗传算法 |
| 6. | A generic evolutionary algorithm for solving multi - modal function optimization problems
适用于多峰函数优化问题的通用演化算法 |
| 7. | An asynchronous parallel simulated annealing algorithm for function optimization problems
函数优化问题的一种异步并行模拟退火算法 |
| 8. | Furthermore , two solution frameworks for objective function optimization problem were given
在此基础上，针对目标优化问题，给出两种求解框架。 |
| 9. | The computation results indicate that cga has good computational efficiency in function optimization
通过数值模拟计算，结果表明这种引入是有效的。 |
| 10. | Kernel function optimization in kernel principle component analysis and its application to feature extraction of gear faults
核主元分析中核函数参数选优方法研究 |
