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adaptive crossover
相关语句
  自适应交叉
     Some improvements like protecting the best individual, accepting immigrations as well as employing adaptive crossover and mutation operators are presented to overcome the slow and premature convergence shortages of Canonical Genetic Algorithms.
     本文对遗传算法理论进行了深入而细致的研究,针对标准遗传算法易发生未成熟收敛和收敛速度过慢的缺陷,提出了遗传算法的改进策略:保护优秀个体,引入外来移民以及采用自适应交叉和变异算子等。
短句来源
     The adaptive crossover probability and adaptive mutation probability are proposed,considering the influence of every generation to algorithm and the effect of different individual fitness in every generation.
     提出一种自适应交叉概率和变异概率,既考虑了进化代数对算法的影响,又考虑到每代不同个体适应度的作用,给出一种改进的实数自适应遗传算法.
短句来源
     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 ;
短句来源
     Aiming at simple genetic algorithm with linear fitness and invariable crossover and mutation probability dynamically unfit for the whole optimal process,a modified genetic algorithm with nonlinear fitness function and adaptive crossover and mutation probability is presented in this dissertation.
     针对简单遗传算法中的线性适应度、恒定交叉与变异概率等不能动态地适应整个寻优过程,提出采用非线性适应度与自适应交叉、变异概率的改进遗传算法。
短句来源
     In this algorithm,chaos initialization and multiple subpopulations evolution based on adaptive crossover and mutation are adopted.
     算法采用混沌初始化和基于自适应交叉、变异的多种群搜索,与单纯形法的混合可更好地改善其局部搜索性能。
短句来源
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  自适应杂交
     NGA with Adaptive Crossover and Its Application in Nonlinear Circuit Analysis
     自适应杂交NGA及其在多值电路分析中的应用
短句来源
     An Ant Colony Algorithm with Adaptive Crossover Features
     具有自适应杂交特征的蚁群算法
短句来源
  “adaptive crossover”译为未确定词的双语例句
     The Genetic Algorithms with Adaptive Crossover Rate Based on Individuals' Similarity
     基于个体相似度交叉率自适应的遗传算法
短句来源
     Adopting adaptive crossover and mutation probability could accelerate the genetic speed and avoid prematurity.
     而在遗传过程中采用自适应的交叉和变异概率能有效加快遗传速度和避免早熟现象的出现。
短句来源
     Adaptive Crossover Rate and Mutation Rate in Genetic Algorithms
     具有自适应交换率和变异率的遗传算法
短句来源
     In this algorithm,the new coding scheme of the global optimization of the topology and weight distribution of neural network fusing with genetic algorithm is designed,fitness function is improved,adaptive crossover and mutation are used.
     在算法中设计了用遗传算法全局优化神经网络拓扑结构和网络权值的新的编码方案,改进了适应度函数的设计和采用自适应的交叉和变异方法.
短句来源
     Combining the parallel searching structure of genetic algorithm(GA) with the probabilistic jumping property of simulated annealing (SA), also with the using of adaptive crossover operator and mutation operator, the adaptive SAGA hybrid optimization strategy is proposed.
     结合遗传算法(GA)的并行搜索结构和模拟退火(SA)的概率突跳性,并结合使用自适应的交叉算子和变异算子,提出了一种高效的自适应的SAGA混合优化算法。
短句来源
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  adaptive crossover
Both GAs are characterized by a dynamic population size with dynamic birth rate, as well as by multiple-operator reproduction criteria and by adaptive crossover and mutation rates.
      


A Niched Genetic Algorithm with adaptive crossover(ACNGA) is proposed.The modified algorithm can be used to solve the parameter optimization problems with multimode functions.With varying of parameter structure of solution space siutable crossover operators are adaptivly chosen and corresponding operation rates are detemined in order to maintain the diversity ofsolutions and get higher rate of convergence.ACNGA can solve nonlinear equations and nonlinear resistive circuits with arbitrary constitutive...

A Niched Genetic Algorithm with adaptive crossover(ACNGA) is proposed.The modified algorithm can be used to solve the parameter optimization problems with multimode functions.With varying of parameter structure of solution space siutable crossover operators are adaptivly chosen and corresponding operation rates are detemined in order to maintain the diversity ofsolutions and get higher rate of convergence.ACNGA can solve nonlinear equations and nonlinear resistive circuits with arbitrary constitutive relation.

提出一种具有自适应交叉算子的NGA算法(简记为ACNGA),以解决具有多模态函数的参数优化问题。ACNGA能随着解空间参数结构的变化,自适应地选择不同的杂交算子并确定相应的杂交率,使解群在保持多样性的前题下,以较高的收敛率得到最优解集。该算法可求解非线性方程组。并可求解具有任意约束关系的非线性电阻电路的所有解。

In the paper the integrated optimization problem of actuator/sensor locations and feedback gains for active control of vibration is studied aiming at the smart structures bonded with piezoelectric actuators and sensors. According to the characteristics of the objective function, an efficient approach using Float-Encoding Hybrid Genetic Algorithms is proposed combined with gradient descent method. Some corresponding simple and excellent genetic operators such as ranking selection, adaptive crossover and...

In the paper the integrated optimization problem of actuator/sensor locations and feedback gains for active control of vibration is studied aiming at the smart structures bonded with piezoelectric actuators and sensors. According to the characteristics of the objective function, an efficient approach using Float-Encoding Hybrid Genetic Algorithms is proposed combined with gradient descent method. Some corresponding simple and excellent genetic operators such as ranking selection, adaptive crossover and mutation are mixed in use, which can deal with the global optimization problem quickly and effectively. The method is sucessively applied to an example of smart plate. The results obtained are rather convincing. The above studies can be further extened to deal with other more difficult optimization problems in engineering.

本文针对采用压电作动器/传感器的智能结构,研究了振动控制中作动器/传动器的配置以及反馈增益的全局优化设计问题。根据目标函数的特点,提出了一种与梯度下降法相结合的浮点数编码的混合遗传算法,并融合设计了排序选择、自适应交叉变异等一些简单且优良的遗传操作,它能快速有效地解决全局优化问题。通过对一个智能板结构的算例,证明了该方法的可行性和优越性,该方法可以进一步应用于更为复杂的工程优化问题中。

The genetic algorithm is a prol,able search method based on Darwin's natural selection and survival of the fittest, which is presented by John Holland. In theory the genetic algorithm can form a more complete algorithm by using bilogical evolution and genetic theory,but there are many I3roblemsneeded to be solved in practice,and premature,which is a serious problem,is one of them. In this paperwe analyze its causes from the hand of diversity of population,and give two theorems about it,and present an effective...

The genetic algorithm is a prol,able search method based on Darwin's natural selection and survival of the fittest, which is presented by John Holland. In theory the genetic algorithm can form a more complete algorithm by using bilogical evolution and genetic theory,but there are many I3roblemsneeded to be solved in practice,and premature,which is a serious problem,is one of them. In this paperwe analyze its causes from the hand of diversity of population,and give two theorems about it,and present an effective method of preventing the premature of genetic algorithm,which adopts the concepl ofdiversity of population and adaptive crossover and mutation rate. At last we make a simulation of four function by using the method as stated above,and the result of experiments shows that the Inethod isvery effective.

从群体多样性角度对成熟前收敛的成因进行了分析,并提出了两个有关定理.根据分析结果,提出了基于群体多样性和自适应交叉、变异率的改进遗传算法.通过四个典型函数的实例验证,证明了本文提出的改进遗传算法是一种有效算法.

 
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