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遗传操作算子
    The structure of DNA genetic algorithm is provided, and its genetic operators are discussed.
    给出了DNA遗传算法的结构 ,讨论了遗传操作算子
    A new DNAEA(encoding methodbased on evolutionary algorithm) is proposed based on the structure and genetic mechanism of biological DNA. The coding structure of DNA chromsome is provided,and its genetic operators are discussed.
    基于生物DNA的结构和遗传机制,提出一种新颖的基于DNA编码方法的进化算法(DNA EA),给出了DNA染色体的编码结构,讨论了遗传操作算子
    Secondly, by use the two new genetic operators, construct two new hybrid genetic algorithms called FP _HGA(I)and FP _HGA(II), the flexible polyhedron directional evolution operator and the flexible polyhedron crossover operator are embedded into the FP _HGA(I)and FP _HGA(II)respectively.
    以这两个新的遗传操作算子和柔性多面体搜索算法为基础 ,提出了两种新的混合遗传算法 FP_ HGA( )、FP_ HGA( ) . 在 FP_ HGA( )中 ,嵌入了柔性多面体方向进化算子和柔性多面体搜索算法 ;
    (3)The span analysis of the genetic operators.
    ③遗传操作算子取值分析。
    8 schemes were provided to analyze the relation of the genetic operators such as population size, cross probability, mutation probability. At last, a optimum group of genetic operators was selected.
    提出8种方案来分析遗传操作算子(种群规模、交叉概率和变异概率)之间的联系,并根据精度最高原则最终确定一组合适的遗传操作算子
    First, comparative analysis of binary encoding and float encoding is made, the advantage and disadvantages of two encoding modes and their influence on genetic operators are clarified, thus the basis for reasonable description of the problems is provided.
    对遗传算法中的二进制编码和浮点数编码进行对比分析,阐明两种编码方法的优缺点和对遗传操作算子的影响,为合理地描述待解决的问题提供一定的依据;
    In terms of indemnifying model coefficients ,the author develops two GA versions embedded the two bit genetic operators, for evaluating classical time series models and the weights of ANN.
    针对模型参数识别问题,笔者又提出了两种嵌入了基本位遗传操作算子的GA新策略,分别用于识别经典时序模型的参数和优化人工神经网络模型(简称ANN)的权重。
    Various controlling parameters and genetic operators of GA, which can affect its running performance, are thoroughly discussed.
    较彻底地讨论了影响遗传算法运行性能的各种控制参数和遗传操作算子
    According to the character of the above ED model, this thesis abstracts a discrete feasible constraints model with a constraint of equation. In the proposed algorithm, genetic algorithm solution is coded as decimal representation. Genetic operators are designed to coincide with discrete feasible constraints that every individual is a feasible solution to the operating processes.
    针对上述最优负荷分配模型中水电机组安全运行区是一系列离散子区间构成的特点,把最优负荷分配模型抽象为等式约束下的离散可行域约束优化数学模型,改进了遗传算法,采用十进制编码技术,并设计了合适的遗传操作算子有效地处理模型中的离散可行域约束,使得算法在遗传操作迭代过程中的所有个体都是可行解。
    According to the characteristic of path planning problem, every component of the algorithms are analyzed carefully, including environment representation, chromosome representation, path evaluation, genetic operators design and GA parameters selection.
    本文针对路径规划问题的特点,对算法的各个环节进行了细致的分析,包括地图环境的建立,染色体的表示和编码、适应度函数的设计,遗传操作算子的设计,算法参数的分析和选取。
    Based on the analysis of current typical application of GA-based query optimization, by ameliorating the fitness function and the genetic operators,we designed a new GA-based query optimization method to seek the optimized query vector.
    在分析当前几种典型的应用遗传算法的查询优化方法的基础上,通过改进适应度函数和遗传操作算子,设计了一种新的基于遗传算法的查询优化方法,用于求取优化的查询向量。
    Genetic algorithms are proposed to automatically configure RBF neural networks. The network configuration is formed as a subset selection problem. Using new genetic operators,the genetic algorithms are improved in convergence and applicatility.
    采用了遗传算法自动构造RBF网络,把网络结构的形式作为一个子集选择问题来解决,并提出了新的遗传操作算子来改进遗传算法,加快了收敛速度,提高了算法的实用性。
    One belongs to simple genetic algorithm,which adopts character coding method and uses ordinary genetic operators.
    一种是简单遗传算法,它采用等长度字符代码编码方法,使用常规的遗传操作算子
    Standard genetic operators are not always suitable for task matching and scheduling based on permutation representation.
    基于任务排列的知识表示 ,常规的标准遗传操作算子并不总是有效的。
    A genetic heuristic algorithm with a special chromosome coding and some new genetic operators is proposed to solve the GLSP.
    提出了解 GLSP问题的遗传启发算法 ,设计了针对 GLSP问题的特定染色体编码及遗传操作算子 .
    Genetic algorithm is a global optimum algorithm using the ideas of genetic mutation and natural selection. Encoding scheme is the basis of its development, which directly affects the construction of genetic operators and performance of genetic algorithms.
    遗传算法是一种采用自然界中的遗传变异和自然选择思想的全局优化算法,其中编码机制是遗传算法得以展开的基础,它直接影响遗传操作算子的构造和遗传算法的性能。
    Genetic algorithm is a global optimum algorithm using the ideas of genetic mutation and natura1 selection. Encoding scheme is the basis of its development, which directly affects the construction of genetic operators and performance of genetic algorithm.
    遗传算法是一种采用自然界中的遗传变异和自然选择思想的全局优化算法,其中编码机制是遗传算法得以展开的基础,它直接影响遗传操作算子的构造和遗传算法的性能。
    Such an encoding mechanism overcomes the shortcomings of variable-length encoding mechanism and other fixed-length binary encoding mechanisms where special decoding and genetic operators are needed, resulting in simplicity and effectiveness of the algorithm.
    此编码方式克服了已有的变长编码机制及定长二进制编码机制需特殊遗传操作算子和特殊解码的缺陷 ,使得算法更加简单有效 .
    TSP and the basic theories and characteristics of GA are first introduced. Then the encoding model and genetic operation about GA in solving TSP are discussed. The advantages and disadvantages of ordinal representation, path representation and matrix representation are respectively indicated, and the application of the three basic genetic operators is elaborated.
    针对解决TSP问题 ,论述了遗传算法在编码表示和遗传操作算子等方面的应用情况 ,分别指出了顺序表示、路径表示和布尔矩阵表示的优缺点 ,阐述了三种基本的操作算子的应用现状 ;
    In this paper a new presentation of chromosomes is designed that encodes the start sequence of the operations of each job,and the corresponding genetic operators. The more meaningful choromosomes and operators make Genetic Algorithm very successful in solving Job-shop problem.
    提出了一种新的染色体表示方法以及相应的遗传操作算子,它们与少许的调整工作相结合,既使得在每次操作算子作用之后产生的新的个体是合法的,也使染色体与时间表产生一一对应的关系,完满地解决了Job-shop问题中关键的表示和操作问题。
 

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