| 1. | You can test the function
可以使用下面的代码测试函数 |
| 2. | The convergence of the new algorithm is better then that of nsga - ii through examination of a testing function
通过测试函数计算表明， ipga算法收敛性优于nsga -算法。 |
| 3. | The simulation results of a mosfet circuit and test equation group prove the advantages of the model
最后，用二输入mosfet电路和多个测试函数方程组对模型进行了实例化模拟，结果表明此模型非常令人满意。 |
| 4. | By comparing and analyzing the results of several standard test functions , the excellent performance of pso is proved
通过比较和分析几个标准测试函数的计算结果，改进的粒子群算法的优良性得到充分的证明。 |
| 5. | The above improvement procedures were tested with functions of several variables and multi optimum solutions and they performed well
采用具有多变量和多优化值的测试函数对上述改进算法进行测试的结果表明所提出措施的有效性。 |
| 6. | Four standard test functions with asymmetric initial range settings are used to confirm the validity of the pso with an increasing inertia weight
新方法不仅符合理论上的解释，而且通过标准测试函数库的检验表明新算法是有效的。 |
| 7. | The results obtained from the modified genetic algorithm indicate the algorithm is feasible and effective by some representative examples
用典型的遗传算法测试函数和十杆超静定桁架结构优化问题作为考题，验证改进遗传算法的有效性与可行性。 |
| 8. | 2 ) second , we develop an efficient identification scheme based on ( the basic and a variation of ) cramer - shoup ' s test function
抗重设攻击身份识别方面，本文设计了一个基于cramer - shoup测试函数(包括cramer - shoup基本方案和变种)的身份设别方案。 |
| 9. | Many classical testing functions of constrained optimization or unconstrained optimization to be taken as examples , experimental results show that the hybrid algorithm has excellent performance with higher accuracy and speed
以若干经典的无约束和约束优化测试函数作为算例,验证了该混合算法的优越性。 |
| 10. | Next , by optimization experiments on several kinds of standard test functions and the comparisons to another optimization algorithm the effectiveness and the superiority of iga is proved in another way
文中又通过对几类标准测试函数的优化实验和同其他优化方法的寻优效果对比，从另一方面证明了本文iga的有效性和优越性。 |
