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遗传算法是一种模拟自然界生物进化的搜索算法，由于它简单易行，鲁
棒性强，尤其是其不需要专门的领域知识而仅用适应度函数作评价来指导搜
索过程，从而使它的应用范围极为广泛，并且己在众多领域得到了实际应用，
取得了许多令人瞩目的成果，引起广大学者和工程人员的关注。- The genetic algorithm is a kind of searching method which simulates the
natural evolution. It is simple and ea
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genetic algorithm functions have been added to provide the crawler with an intelligent behavior
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在OFDM峰均比中采用遗传算法降低部分传输序列复杂度的新方法-PAPR in OFDM to reduce the use of genetic algorithm partial transmit sequence complexity of the new method
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基于Delphi语言的实数编码遗传算法，用者根据自己需要做适当修改即可。-Delphi language based on real-coded genetic algorithm, the users according to their needs can make the appropriate changes.
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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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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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PID控制器的性能取决于其控制参数的组合，针对其参数的整定和优化问题，提出了应用一种改进的粒子群优化算法，该
算法借鉴了遗传算法的杂交机制，并采用惯性权值的非线性递减策略。用以加速算法的收敛速度和提高粒子的搜索能力。将该算
法应用于一个二阶系统的PID控制器参数的优化。仿真结果表明该改进的粒子群算法具有比传统粒子群算法和遗传算法更好的
优化效果，具有一定的工程应用前景。-Abstract：PID controller’s performance completely depends
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遗传算法解决TSP问题
所谓TSP问题（旅行商问题）即最短路径问题就是在给定的起始点S到终止点T的通路集合中，寻求距离最小的通路，这样的通路成为S点到T点的最短路径。-Genetic algorithm to solve TSP problem called TSP problem (TSP) that the shortest path problem in a given starting point S to the end point T path collection, seeki
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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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该程序是遗传算法优化BP神经网络函数极值寻优-The program is a genetic algorithm to optimize BP neural network function optimization extreme
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本文件主要是关于java实现的遗传算法的代码，很适合初学者对遗传算法的入门了解-This document is about the realization of the genetic algorithm java code, it is suitable for beginners to understand the genetic algorithm entry
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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生产调度方面问题的代码，功能可以解决基本的问题，希望能帮助大家！下载吧-Genetic algorithm code written on aspects of production scheduling based on function can solve basic problems, hope 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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