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crossover operator
相关语句
  交叉算子
     We designd one-dimension chromosome coding structure and the corresponding improved uniformity crossover operator and the heuristic mutation operator.
     我们给出了一种求解最佳联盟结构的GAs算法,设计出了一种简单的一维自然数染色体编码结构和改进的均匀交叉算子以及启发式变异算子。
短句来源
     Simplex Crossover Operator for Genetic Algorithm
     遗传算法的单纯形交叉算子
短句来源
     Study on the Performance of Crossover Operator in Genetic Algorithms
     遗传算法交叉算子的性能研究
短句来源
     The Research of Crossover Operator of Genetic Algorithms
     遗传算法的交叉算子研究
短句来源
     Order insert crossover operator for TSP
     TSP问题的顺序插入交叉算子
短句来源
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  杂交算子
     To improve the speed and precision of reaching optimal solutions,a new crossover operator based on the generation number and individual fitness was introduced for the float-point genetic algorithm.
     为了提高浮点遗传算法在优化问题时的收敛速度与求解精度,提出了一种基于进化代数和个体适应值的杂交算子,该算子根据每代个体的适应度与进化代数的变化情况自适应调整交叉操作。
短句来源
     A New Crossover Operator for TSP
     一种新的求解TSP问题的杂交算子
短句来源
     New crossover operator in float-point genetic algorithms
     浮点遗传算法中一种新的杂交算子
短句来源
     The core of the genetic algorithm is the new construction of chromosome code to invert VRP to m-TSP,and the novel crossover operator is designed.
     该算法的核心在于构建一种新的染色体编码,将VRP问题转化为m个TSP问题,并设计出新的杂交算子.
短句来源
     The main innovations are as follows: 1. Constructing a kind of new crossover operator;
     本文的主要创新如下:1、构造了一种新的杂交算子
短句来源
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  “crossover operator”译为未确定词的双语例句
     The algorithm includes a new coding method and a novel crossover operator.
     给出了这一改进算法的新的编码方法和相应的新的个体初始化方法以及交叉操作等。
短句来源
     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 ;
短句来源
     Genetic Algorithm Based on the Orthogonal Crossover Operator and Its Application in Parameter Optimization of the Hydroturbine Governor
     基于正交交叉操作的遗传算法及在水轮机调速器参数优化中的应用
短句来源
     A Genetic Algorithm Using the Improved Crossover Operator and Its Application for Solving the Optimal Problems of Communication Nets
     改进交叉方式的遗传算法在求解通信网优化问题中的应用
短句来源
     This is a permutation problem,for which the traditional genetic crossover operator results in repetition of gates.
     由于门阵列布局是一排列问题,传统的遗传杂交会导致门的重复,因此必须对传统的遗传算法进行修改。
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  crossover operator
In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cell-shift crossover operator for evolutionary algorithm (EA) is proposed in this paper.
      
Likewise, the introduction of a crossover operator is shown to improve the effectiveness of the search for kinematic trees (such as a human body).
      
Finally, an experimental comparison of crossover operator performance is carried out.
      
The results of the experiments demonstrate that the genetic algorithm performs the best when the new crossover operator is used along with the insertion mutation.
      
We first describe the implementation details, which include a new crossover operator.
      
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As general stochastic search algorithms, geneitc algorithms (GA's) have been applied to a variety of research fields such as function optimization, machine learning, etc.. Classical GA's can not surmount the ordering problems well. In this paper, for a kind of classical ordering problems——the traveling salesman problem, we first illustrate the necessity of using normalization techniques to calculate appropriate evaluation functions and then design a new heuristic crossover operator which is more effective...

As general stochastic search algorithms, geneitc algorithms (GA's) have been applied to a variety of research fields such as function optimization, machine learning, etc.. Classical GA's can not surmount the ordering problems well. In this paper, for a kind of classical ordering problems——the traveling salesman problem, we first illustrate the necessity of using normalization techniques to calculate appropriate evaluation functions and then design a new heuristic crossover operator which is more effective than similar operators published before.

遗传算法作为一种通用随机搜索算法,在函数优化、机器学习等许多方面获得了很好的结果.但是,常规的遗传操作对于有序问题效果不理想.本文分析了一种典型的有序问题——旅行售货员问题,根据其特点并结合遗传算法的模式理论,设计出一个新的启发式遗传交换操作.理论分析和实验结果显示这种交换操作的效果大大好于较通用的有序交换操作,也优于Grefenstette的贪心方法.

This paper presents a noval implementation of the genetic algorithm in combination with beam search for gate matrix layout.This is a permutation problem,for which the traditional genetic crossover operator results in repetition of gates.To adapt it to the gate matrix layout problem,the principles of beam search have been used.The gate are ranked according to their connectivity with each other,and the ranks of the gates to be placed next to each other to a low value. The algorithm produces better results...

This paper presents a noval implementation of the genetic algorithm in combination with beam search for gate matrix layout.This is a permutation problem,for which the traditional genetic crossover operator results in repetition of gates.To adapt it to the gate matrix layout problem,the principles of beam search have been used.The gate are ranked according to their connectivity with each other,and the ranks of the gates to be placed next to each other to a low value. The algorithm produces better results compared to results on published netlists[1].

介绍用遗传算法对门阵列布局设计进行优化的新方法。由于门阵列布局是一排列问题,传统的遗传杂交会导致门的重复,因此必须对传统的遗传算法进行修改。为了适合优化门阵列布局问题,这里使用了宽度搜索技术。用遗传算法得出的染色体建立门的相互排列邻接关系,宽度值用于限制搜索空间,使搜索更为有效。该算法的结果比基于图论的启发式计算效果更好。

The searching efficiency and global convergence of genetic algorithms(GAs), which are based on the canonical crossover operator, are studied in this paper. A modified GAs is presented, and it is successfully applied to system identification. Simulations show the effectiveness and practicality of the modified GAs.

研究了基于基本杂交操作的遗传算法的搜索效率及全局收敛性。提出了一种改进的遗传算法,该算法成功地应用于系统辨识。仿真结果表明了该方法的有效性及实用性。

 
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