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- The effects of Gauss mutation operator and the Cauchy mutation operator on the improved algorithm were compared. 比较了高斯变异和柯西变异这两种变异算子对改进算法的影响。
- The new algorithm has two main characteristics: first, int roduce the Gauss mutation operator of Evolution Strategies (ES) ; second, introd uce variable searching subspace. 对郭涛算法做了两点改进:一是引入演化策略中的高斯变异算子,二是引入自适应搜索子空间。
- The evolutionary programming based on student probability distribution mutation was proposed by refering to Gauss mutation operator and Cauchy mutation operator. 参考高斯变异算子和柯西变异算子,提出了基于学生概率分布变异的进化规划算法。
- Gauss mutation operator 高斯变异算子
- The amended mutation operator can guarantee the availability of evolution. 通过对变异算子的修改，保证遗传进化的有效性；
- System design adopted chiefly crossover operator and mutation operator of genetic algorithm,and it producedsequence encryption using shift,negate,xor. 在系统设计中主要采用遗传算法中的杂交和变异算子,并结合移位、取反、异或等操作生成密钥序列。
- Second, a specified mutation operator with calculating decoded values is proposed according to the status of the solution. 首先以等候理论模式建构一个包含多种模组的不稳定制造系统模型，以求出系统之妥善率。
- A novel improved particle swarm optimization (PSO) algorithm based on feasible retention strategy and mutation operator is proposed to solve optimal power flow (OPF) problems. 提出了一种新的基于可行保留策略和变异算子的改进粒子群优化算法来求解最优潮流问题。
- 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。
- System design adopted chiefly crossover operator and mutation operator of genetic algorithm, and it produced sequence encryption using shift, negate, xor. 在系统设计中主要采用遗传算法中的杂交和变异算子，并结合移位、取反、异或等操作生成密钥序列。
- The symbol encoding style what was needed for the optimization apportion model was solved, and selection operator, cross operator and mutation operator were designed concretely. 解决了优化分配模型所需的符号编码方式，并给出了相关的选择、交叉、变异等遗传算子的具体设计。
- In this paper a new mutation operator is proposed, which is applied into chromosomes encoded with natural numbers.And the optimal mutation rate is studied. 针对自然数编码的遗传算法，提出了一个新的变异规则，并研究了相应的最优变异率。
- 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.
- In this structure, the main species use a new mutation operator to keep population diversity in entire search space and acquire the fast increasing of better models, and the additional species are designed to get local optima in the specified regions. 在该结构中 ;主群采用新的变异算子来保持良好的群体分布 ;并促使较优模式的快速增长 ;附属子群设计在有限区域内获取局部最优 .
- Instead of the traditional mutation operators,we use parallel mutation to improve the convergence performance. 并采用并行变异代替传统的变异操作以改善算法收敛性能。
- 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；
- The Simulated Annealing Algorithm act on the choice operator the crossover operator the mutation operator at the same time, so which can boost up self-adaptability of the simple Genetic Algorithm. 提出了基于网格的退火遗传算法(GSAG)，该算法的基本思想是利用网格在种群规模一定的情况下，能够保证初始群体的遍历性与多样性，它主要用于初始群体的产生，基于网格的退火遗传算法最大特点：模拟退火同时作用于选择算子、交叉算子以及变异算子从而在整体上增强对遗传算法的自适应性，更好地满足了优胜劣汰的自然进化法则。
- By using the multi-parent crossover operator and the new mutation operator, the variety of population and the ability of MPGA algorithm breaking away from the local optimum are effectively improved. 该算法通过引入多父体杂交算子和新的变异算子，有效的增强了种群的多样性及算法跳出局部最优解的能力。
- A new crossover operator is designed to implement the information exchange among individuals.A new mutation operator is also design to prevent the algorithm from falling into local optima. 各个个体独立并行演化,个体间通过一个新的交叉算子实现演化信息的交换,同时设计了一个新的变异算子以增强算法的局部寻优能力。
- 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。
