| 1. | A particle swarm optimization with step - accelerating mutation operator
含步长加速变异算子的微粒群算法 |
| 2. | Mechanism analysis of mutation operator based on algebraic crossover operator
基于代数杂交算子的变异算子机理分析 |
| 3. | The main research achievements are as follows : a new mutation operator is constructed
主要成果如下:构造了新的变异算子。 |
| 4. | Study on improvement of mutation operator in evolutionary programming and evolutionary strategies
进化规划和进化策略中变异算子的改进研究 |
| 5. | Similarity - based crossover - mutation operator and its application to mining classification rules
基于相似度的交叉变异算子及其在分类规则挖掘中的应用 |
| 6. | Crossover and mutation operators of algorithms are set up according to the theory of matter element transformation
以物元变换理论为指导建立了算法的进化操作算子。 |
| 7. | We should specially point out that by the function of the mutation operator , which ensures a stable convergence of the algorithm into a global optimum
需要特别指出的是，通过该变异算子的作用，可以使算法稳定地收敛到全局最优解。 |
| 8. | Through the simulation test , the paper analyses the impact of crossover operator , mutation operator and eliminating near best result operator on the algorithms
通过仿真实验，本文分析了交叉算子、变异算子及近忧淘汰算于对算法的影响。 |
| 9. | The probability to obtain the correct answer of genetic algorithm is big through the use of optimized crossover and mutation operators
本文给出了对图像拼接问题进行了优化的交叉和变异算子,这样使得遗传算法能够以非常大的概率获得正确解。 |
| 10. | The advantage of genetic algorithms lies in : to search the best solution for many initial points ; and find the total optimum solution by means of crossover and mutation operator
它从多个初始点开始寻优，借助交叉和变异算子来获得参数的全局最优解。 |
