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- Dynamic Crossover and Mutation 动态的交叉率和变异率
- Through regulating the crossover and mutation rate, it overcomes the disadvantage of premature convergence in SGA. 通过对交叉、变异概率的动态调整,克服了SGA未成熟收敛的弊端。
- The improved algorithm adopts adaptive crossover and mutation variate according to the adaptive function value. 改善的算法采用自适应的交叉和变异算子,让交叉和变异概率随适应函数值的变化而变化。
- The chaos theory was used to dynamically control crossover and mutation operation. 采用混沌优化技术动态控制交又、变异操作;
- In order to speed up the convergence, the crossover and mutation rates are adjusted with on-line fuzzy control according to the evolution situation. 为加快收敛速度,根据种群进化情况对交叉率和变异率进行在线模糊控制。
- When transforming the given scores into relevant codes,makes use of the operators of choice,crossover and mutation in GA to get new music. 通过将给定的乐谱转换成相应的编码,采用遗传算法中的选择、交叉和变异算子产生新的乐曲。
- Abstract: In this paper, some improvements of the evolution genetic algorithm(EGA) are presented: new operator of crossover and mutation. 摘 要: 对进化遗传算法进行了改进,提出了新的交叉算子和变异算子,使得改进后的算法具有更好的全局收敛能力。
- In this paper, some improvements of the evolution geneticalgorithm(EGA) are presented: new operator of crossover and mutation. 对进化遗传算法进行了改进,提出了新的交叉算子和变异算子,使得改进后的算法具有更好的全局收敛能力。
- Unsuitable crossover and mutation rate can cause the same problem.For these reasons,an improved genetic algorism is presented in this paper. 初始种群或交叉、变异率选择不当,将增加迭代次数,甚至直接导致算法陷入局部最优解。
- On the other hand, by introducing crossover and mutation of tuba search algorithm, TSSAGMA can avoid precocity and can get a better solution. 该算法的适应度函数采用模拟退火算法的思想来确保在后期快速收敛,同时引入禁忌搜索算法的交叉和变异算子,来防止算法早熟。
- The evolution idea of genetic algorithm including the crossover and mutation operation can improve the speed of searching for the global optimization. 在种群随机搜索过程中嵌入确定性的模式搜索,使得算法同时具有随机性和确定性。
- Based on this new code method, the individual in population was coded, and the crossover and mutation operators were adapted to it. 基于此编码方法,对种群中的个体进行编码,并设计了相应的交叉和变异操作。
- An adaptive genetic algorithm is proposed for solving the bilevel linear programming problem to overcome the difficulty of determining the probabilities of crossover and mutation. 摘要提出了一种自适应遗传算法来求解二层线性规划问题。
- After crossover and mutation operations, an optimal or suboptimal scheduling plan can be found.The result of the test shows that this method is feasible and efficient. 结果表明此算法有很好的收敛精度,是可行的,与传统的调度算法相比较,体现出其明显的优越性。
- The new algorithm computes crossover and mutation probability according to the fitness,and hereby carries on crossover and mutation by the way of sampling without replacing. 该算法根据个体和群体的适应度来确定个体的交叉变异概率,并据此采用无放回抽样的方式进行交叉变异。
- Based on genetic algorithms, the special rules of coding,crossover and mutation are designed for solving the problems of the necessity-nodes in the transportation. 针对运输中的必经点问题,设计了特殊的遗传算法染色体编码、交叉与变异规则;
- Self-adjusting crossover and mutation rate are used and the initial population and population size are determined based on space division in this algorism. 为此,本文提出一种基于空间分割的遗传算法及初始种群产生和种群数量确定方法,并根据有关文献,提出一种自适应交叉、变异率方法。
- First,the cost function of waveform design was improved,and the selection,crossover and mutation operator of genetic algorithm was designed in terms of the characteristics of discrete frequency-coding. 首先对波形设计的代价函数进行了改进;然后针对离散频率编码的特点;对遗传算法的选择、交叉、变异算子进行了设计;最后对设计结果进行了分析.
- Paper [1]points out that GA with proportional reproduction,adaptive crossover and mutation probability(AGA)meets the condition of elitist preserved GA(EGA)and concludes AGA?s global convergence from EGA?s global convergence conclusion. 文 [1]指出 ,具有比例复制和自适应交叉、变异操作的遗传算法 (简称AGA)满足最优保存GA(简称EGA)的条件 ,则由EGA全局收敛的结论得出AGA也是全局收敛的 ;
- Quantum algorithm (QA) with updating of quantum gates and catastrophe of population is compared with quantum genetic algorithm (QGA) by including crossover and mutation for quantum bits. 摘要首先比较了带量子门更新和群体灾变的量子算法(QA)以及加入对量子位的交叉和变异操作的量子遗传算法(QGA);