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遗传算法指南（A Genetic Algorithm Tutorial）：经典的遗传算法文献-This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms, including parallel island models and parallel cellular genetic algorithms.
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ES D evolution strategies GA D genetic algorithm ...... One of the first applications of genetic algorithms in explained here -ES D evolution strategies GA D genetic algorithm ...... One of the first applications of genetic algorithms in explained
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Genetic Algorithms are good at taking large, potentially huge search spaces and navigating them, looking for optimal combinations of things
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本文档主要介绍智能优化算法的应用，并详细介绍了遗传算法和蚁群算法。-This document focuses on the application of intelligent optimization algorithms, and details of the genetic algorithm and ant colony algorithm.
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主要是关于基因演算法里面的思想及如何实现，还有它的原理，是智能计算里面非常重要的部分-Mainly on genetic algorithms inside the thoughts and how to achieve, as well as its principles, is intelligent computing inside a very important part of the
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在本讲义中，我们将着重讲述一些数学建模中常用的算法，包括神经网络算法、遗传算
法、模拟退火算法和模糊数学方法。用这些算法可以较容易地解决一些很复杂的，常规算法很难解决的问题。-In this lecture, we will focus on about a number of commonly used mathematical modeling algorithms, including neural network algorithm, genetic algorithm
Meth
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这是一个简单的ＧＡ源代码，该系统使用比率选择、精华模型、单点交叉和均与变异-This is a simple GA source code, the system uses the rate selection, the essence of model, and both single-point crossover and mutation
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该文件中总共包括两种算法，蚁群算法和遗传算法，还有利用蚁群算法对参数进行优化。-The file includes a total of two algorithms, ant colony algorithm and genetic algorithm, the ant colony algorithm to optimize the parameters.
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举出三个简单的实例，通过遗传算法来进行求解。让大家对遗传算法进行理解-Cite three simple example, by means of genetic algorithms to solve it. So that we can understand the genetic algorithm
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采用蚁群算法能够解决31个城市的旅行商问题，相对于遗传算法，模拟退火算法和其他的算法，蚁群算法有其自身的优势-Ant colony algorithm to solve the traveling salesman problem 31 cities, with respect to genetic algorithms, simulated annealing algorithm and other algorithms, ant colony algorithm has its own ad
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基于遗传算法写的关于旅行商问题的代码，功能可以解决基本的问题，希望能帮助大家！下载吧-Genetic Algorithms write code based on the traveling salesman problem, the function can solve fundamental problems, hoping to help you! Download it
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基于遗传算法写的关于旅行商问题的代码，功能可以解决基本的问题，希望能帮助大家！下载吧-Genetic Algorithms write code based on the traveling salesman problem, the function can solve fundamental problems, hoping to help you! Download it
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基于遗传算法写的关于旅行商问题的代码，功能可以解决基本的问题，希望能帮助大家！下载吧-Genetic Algorithms write code based on the traveling salesman problem, the function can solve fundamental problems, hoping to help you! Download it
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Optimal power flow (OPF) is one of the nonlinear problems of power system. The various
algorithms for solving optimal power flow problem are found in the literature. The genetic algorithm
(GA) based solution techniques are found to be most suitab
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Real world problems often present multiple, frequently conflicting, objectives.
The research for optimal solutions of multi-objective problems
can be achieved through means of genetic algorithms, which are inspired
by the natural process of evo
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The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individ
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Genetic Algorithms in the Design and
Optimization of Antenna Array Patterns
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