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- In addition, an unconventional crossover operator is given to meet the constraints of the DM problem. 同时，设计了用于满足决策问题的非常规交叉算子。
- Methods Optimize the routes by using the genetic algorithm (GA) whose crossover operator is improved. 方法利用遗传算法进行优化，对遗传算法的交叉操作进行改进。
- An improved genetic algorithm (IGA) is proposed based on the novel crossover operator. 通过引入新颖交叉算子，构造了一种改进遗传算法。
- 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。
- In this paper,a new genetic crossover operator,insert cros sover operator,suited for large-scale TSP is proposed for natural number enco ding scheme. 该文针对自然数编码的方式,提出了一种较适合于大规模TSP问题求解的遗传交叉算子:插入交叉(InsertCrossover,简称IX)算子。
- It also introduces the concept of function module and a new kind of coding way, crossover operator and mutational operator. 提出了功能块的概念，介绍了一种新的编码方式、交叉算子和突变算子。
- The original selection operator and crossover operator were respectively reconstructed to dynamic selection operator and gene transfer operator. 原始的选择算子和交叉算子分别被改造为动态选择算子和基因传递算子；
- Simultaneously, for preventing prematurity, crossover positions in crossover operator choose according to not equal probability. 同时为了防止早熟现象，交叉算子中的交叉位置按非等概率选取的方法进行；
- Methods of uniform population initialization and uniform crossover operator based on uniform design tables are introduced into the algorithm. 设计了基于均匀设计表的均匀种群初始化方法和均匀交叉算子，并将其引入算法中。
- It also introduces the concept of function module and a new kind of coding way,crossover operator and mutational operator. 提出了功能块的概念,介绍了一种新的编码方式、交叉算子和突变算子。
- 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 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。
- Crossover operation is the most important operation of genetic algorithms, it is the key to the convergence of genetic algorithms. 摘要交叉操作是遗传算法中最重要的一种操作，是影响算法收敛性能的关键。
- Vaccination can not noly make excellent schemata proliferate, but also repair the schemata destroyed by mutation and crossover operation. 将疫苗接种的思想应用于差分进化，加速优良模式的繁殖，修复被交叉、变异破坏的模式，从而加快收敛速度。
- 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。
- In many instances,Once the mode of coding was selected,crossover operation was determined too. 在很多情况下，编码方式的确定也就决定了交叉操作。
- Base on the group theory, a new method to calculate affinity and two novel crossover operators was proposed. 依据群论的观点，提出一种新方法计算亲和度，并提出两种新的交叉算子。
- 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。
- In order to converge to global optimum more quickly and not to plunge a local extremum, rank-based selection algorithm and arithmetic crossover operator and non-uniform mutation operator are adopted. 为了加快收敛速度和不陷入局部极值，采用了排序选择算法、算术交叉算子和非一致变异算子。
