| 1. | If these parameters are designed unreasonably , si outstanding problem appears : the premature convergence
如果这些参数设计的不合理，很容易引起遗传算法的早收敛。 |
| 2. | Presently , the algorithm still suffers from two drawbacks , premature convergence and weak exploitation capabilities
目前，遗传算法的主要问题有两个：早熟收敛和开采能力差。 |
| 3. | The main deficiency of application of ga in rpo problem is its premature convergence especially when the system becomes very large
但是遗传算法存在一个缺点,即当问题非常复杂时会出现早熟收敛的问题而影响了寻优能力。 |
| 4. | In view of the shortcomings of simple genetic algorithm , such as premature convergence , random oscillation and slow convergence , some measures are taken to improve them
摘要针对标准遗传算法存在的早熟收敛、随机振荡和收敛速度慢等缺陷，采取改进措施。 |
| 5. | The optimization result of multi - peak value function shows that the algorithm presented can solve premature convergence problem effectively and converge to the globally optimal solution
多峰值函数优化结果表明，该算法可以有效地解决早熟收敛问题，更易达到全局最优解。 |
| 6. | And then , the eight - parameter 2d projection model is optimized by ga , including adjusting genetic operators to eliminate the local convergence and premature convergence problem
接着本文采用遗传算法优化二维投影模型的8个参数，通过调整遗传算子来消除局部收敛和末成熟收敛问题。 |
| 7. | New genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm
摘要针对简单遗传算法存在早收敛和在进化后期搜索效率较低的缺点，提出了一种新的种群数自适应遗传算法。 |
| 8. | A new genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm
摘要针对简单遗传算法存在早收敛和在进化后期搜索效率较低的缺点，提出了一种新的种群数自适应遗传算法。 |
| 9. | But in engineering practice , premature convergence often happens , and sometimes the speed of convergence is very slow , which greatly restrict the application of genetic algorithm
但是在实际工程应用中经常发生早熟收敛现象，且有时收敛速度非常慢，这在很大程度上限制了遗传算法的进一步普及应用。 |
| 10. | Secondly , the intelligent optimization algorithms are used as search strategy . to overcome the genetic algorithm ( ga ) ’ s premature convergence , the metropolis scheme was introduced into ga
针对遗传算法的“过早收敛” ,我们采用混合优化算法,将模拟退火算法的metropolis接受准则引入到遗传算法中。 |
