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genetic optimizer :
Genetic algorithms are heuristic search techniques that incorporate in a
computational setting, the biological notion of evolution by means of
natural selection. This subroutine implements the three basic operations
of
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遗传算法在TSP中的应用,体现了遗传算法全局搜索的优越性。-Genetic algorithms in TSP applications, reflects the superiority of genetic algorithm global search.
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readme file for help to implement the optimization problem using genetic algorithms
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《遗传算法:理论、应用及软件实现》,pdg格式的电子书,学习遗传算法必读-《Genetic algorithms: theory, applications and software&》, pdg format e-books, reading learning genetic algorithm
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1.附件结构: gatbx.rar: (1)gatbx-origin.zip (2)gatbx-toolbox.rar (3)gatbx-example.rar
2.调试所用Matlab版本是6.5,gatbx-toolbox是调试过程中使用的工具箱,有些热心的研友已经提供了该工具箱,之所以再贴一遍,是因为6.5版本下调试该工具箱会出现一些错误提示,在该版本中已经进行了改正,使用该工具箱只需要将压缩包下的gatbx和gatbx\Test_fns加入到Matlab搜索路径即可,另外gat
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本资料详细介绍了有关启发式算法的重要内容,包括模拟退火方法,遗传算法,动态规划,背包问题,对相关的研究有帮助。-This information details the important heuristic, including simulated annealing, genetic algorithms, dynamic programming, knapsack problem, the related research help.
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粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation),有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究。
PSO同遗传算法类似,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。
同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练
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更加复杂的遗传算法,多节点变异,运算更加流畅。使用C#实现,可根据需求自行修改-More complex genetic algorithms, multi-node mutation, smoother operation. Use C# to achieve, can modify according to needs
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遗传算法是解决搜索问题的一种通用算法,对于各种通用问题都可以使用。该文件给出了遗传算法的经典程序。-Genetic algorithms to solve the problem of a general search algorithm, for a variety of common problems can be used. The document gives the classic genetic algorithm procedure.
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遗传算法和阈值分割的源代码,希望能够帮助到做分割的同学-Genetic algorithms and threshold segmentation of the source code, hoping to help the students to do the split
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遗传算法的C++实现程序,自己也不是很懂,还没接触这方面的知识。-Genetic algorithms in C++ program, he do not really understand, yet access to this knowledge.
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现代优化算法简介,包含模拟退火法,遗传算法,人工神经网络等三大算法,附源代码及应用实例-Introduction of modern optimization algorithms, including simulated annealing, genetic algorithms, artificial neural networks and other three algorithms, with source code and application examples
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遗传算法(GA)是一类借鉴生物界自然选择和遗传原理的随机优化搜索算法。其主要特点是群体搜索策略和群体中个体间的信息交换、搜索不依赖于梯度信息。-Genetic algorithms (GA) is a type of reference biological principle of natural selection and random genetic optimization search algorithm. Its main feature is a group of search s
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用遗传算法来改善BP神经网络模型,可以很好的用于最优化、预测等问题的求解-Using genetic algorithms to improve the BP neural network model, can be very good for optimization, forecasting and other problem solving
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PDF in HYBRIDIZING GENETIC ALGORITHMS WITH BRANCH AND BOUND TECHNIQUES FOR THE RESOLUTION OF
THE TSP,usefu-PDF in HYBRIDIZING GENETIC ALGORITHMS WITH BRANCH AND BOUND TECHNIQUES FOR THE RESOLUTION OF
THE TSP,usefull
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基于遗传算法和BP网络的文字识别方法 对于学习遗传算法 和文字识别有较好的借鉴作用-Based on genetic algorithm and BP neural network character recognition method for genetic algorithms and text learning a good reference for identification
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遗传算法的书籍,包括遗传算法的基本原理以及部分算例展示。作为学习与交流的作用,请指教-Genetic algorithms books, as the role of learning and communication, please advise
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这是两本很好的关于遗传算法的书籍,比较基础,很适合初中级者学习。-This is two very good books on genetic algorithms, the comparison basis, it is suitable for middle grade learning.
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Written for the novice AI programmer, AI for Game Developers introduces you to techniques such as finite state machines, fuzzy logic, neural networks, and many others, in straightforward, easy-to-understand language, supported with code samples throu
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利用遗传算法解决旅行商问题,matlab程序,功能很强-Using genetic algorithms to solve the traveling salesman problem, matlab program, highly functional
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