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genetic algorithm
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  相似匹配句对
     The genetic
     用等电聚焦免疫固定技术调查成都地区汉族群体Bf的遗传多态性。
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     (f,) -genetic knowledge;
     给出 (f, f) 遗传知识 ;
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     Genetic Vulnerability
     花生的遗传脆弱性
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     Genetic Algorithm
     遗传算法
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     Genetic Programming ( I )
     遗传程序设计(之一)
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  genetic algorithm
In this paper a hybrid algorithm which combines the pattern search method and the genetic algorithm for unconstrained optimization is presented.
      
The algorithm is a deterministic pattern search algorithm, but in the search step of pattern search algorithm, the trial points are produced by a way like the genetic algorithm.
      
Novel Quantum Genetic Algorithm and Its Applications
      
By introducing strong parallelism of quantum computing into evolutionary algorithm, a novel quantum genetic algorithm (NQGA) is proposed.
      
The experimental results show that the new algorithm not only has great advantage of convergence property over genetic algorithm and PSO, but can also avoid the premature convergence problem effectively.
      
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The principle of the genetic algorithm is described. The fitness and coding method of the genetic algorithm for neural network training are discussed. Some new search strategies including the adaptive center point, global search and local accurate search are proposed to improve the GENITOR algorithm. Experimental results show that the genetic algorithm can not only replace the BP algorithm for neural network training,but can also be used to train those neural networks with the neuron...

The principle of the genetic algorithm is described. The fitness and coding method of the genetic algorithm for neural network training are discussed. Some new search strategies including the adaptive center point, global search and local accurate search are proposed to improve the GENITOR algorithm. Experimental results show that the genetic algorithm can not only replace the BP algorithm for neural network training,but can also be used to train those neural networks with the neuron activation function undifferentiable.

根据基因遗传算法GA的基本原理,阐述了GA用于神经网络训练问题的适合度函数和编码方法,分析了标准GA的不足,提出了自适应浮动区间中心点、全局搜索和局部精确搜索等改进策略,发展了GENITOR算法.训练实例表明,GA不仅能代替BP算法,而且能完成神经元激发函数不可微的多层神经网络的训练.

Optimization with multiminimum and the basic concept of the genetic algorithm are described. Based on the classical optimization method, a genetic search optimization algorithm in continuous space is presented. The selection of the key parameters is discussed. The calculation results of computational examples with the algorithm proposed are given. The algorithm is shown to be steadily convergent at global optimum.

简述了多峰优化的主要问题及遗传算法的基本概念及算法.在传统的优化方法基础上,引入遗传算法的思想,提出以优化搜索方向向量为研究对象,在连续空间进行优化的遗传搜索优化算法;给出了算法中关键参数的选取方法;最后,给出了该算法的计算实例,结果表明,用该算法能较稳定地找出全局最优点.

This paper introduces a new optimum search method:genetic algorithm.Containing three basic op-erators:reproduction,crossover and mutation,it imitates the evolution processes of natural organism.Itsprocess is described and a simple qualitative analysis to its design is presented.Besides,it is applied tofundtion optimization,including one-dimensional,two-dimensional and three-dimensional functions.

本文对一种新的搜索算法——基因算法进行了基本研究。基因算法是对自然界生物进化的一种模仿,它包含三个基本的算子:再生、交叉和变异。本文对基因算法的过程作了描述,并对其参数设计进行了简单的定性分析。最后还将基因算法用于一维、二维和三维的函数寻优,给出了许多试验的结果。

 
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