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这是我用matlab编写的，利用蚁群算法（ACO）求连续函数最优解的源码。是对段海滨《蚁群算法原理及应用》一书中，网格策略法的实现。-This is my prepared using Matlab, using ant algorithms (ACO) function for the optimal solution for the source code. On the waterfront of the "ant colony algorithm and application
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无约束连续函数优化的人工蚁群算法通用MATLAB源码
此源码是对人工蚁群算法的一种实现，用于无约束连续函数的优化求解，对于含有约束的情况，可以先使用罚函数等方法，把问题处理成无约束的模型，再使用本源码进行求解
-Unconstrained optimization of continuous function of artificial ant colony algorithm for general-purpose MATLAB source code。
This sour
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蚁群算法的matlab实现程序，简单易懂，对于学习者来说，不错-Ant colony algorithm matlab implementation process, easy to understand, for a student perspective, it is true
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用matlab实现蚁群算法,再实际应用中很有作用-Ant colony algorithm using matlab implementation, then the role of the practical application of useful
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我备战2010数学建模美赛所精心准备的算法资料，一共13个算法。应该说是目前比较全的算法集了。每个算法由一个VC6例子实现，来解决一个问题。其中一些是自己编写，其它的也是由网上找到后经过修改编译通过的。比赛结果还不错，一个M，现在把资料共享出来，希望对大家有所帮助，算法主要有模拟退火，遗传算法，蒙特卡罗算法，蚁群算法，粒子群算法，元胞自动机，Dijkstra，最小生成树算法，二分图最大匹配算法，最大流算法，动态规划算法，分支定界法，排队论算法，决策论算法等，我写了个说明文件，列的挺详细的-I a
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This MATLAB implementation computes a correspondence between two shapes
based on ant colony optimization (ACO). The input shapes can be either
two 2D contours (open or closed) or two arbitrary sets of 2D points. The
algorithm is described in de
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此源码是对人工蚁群算法的一种实现，用于无约束连续函数的优化求解，仅供学习参考。-This source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous functions to solve the learning reference purposes only.
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使用matlab实现的双种群蚁群算法，输出最优路径-Matlab implementation of the Dual Population Ant Colony Algorithm, the output of the optimal path
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一个很好用现代智能优化算法，蚁群聚类优化算法的实现过程，实现结果很好-Ant cluster implementation of algorithm is kind, nice algorithm is a very good modern intelligent optimization algorithm, ant cluster of process to realize the optimization algorithm, realize the result is good
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PropCode2 is a MATLAB implementation of the algorithm described in Chap-
ter 3 of The Theory of Scintillation with Applications in Remote Sensing by
Charles L. Rino, John Wiley & Sons IEEE Press, 2010. The algorithm simulates
electromagnetic (E
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对于二维路径规划的蚁群算法的改进研究与实现-Research and implementation of improved ant colony algorithm for two-dimensional path planning
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蚁群算法的matlab实现程序代码，经过本人实际验证，能够很好的解决一些问题-Ant colony algorithm matlab implementation program code, after I actually verified, can well solve some of the problems
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蚁群算法是一种模仿蚁群行为的仿生优化算法，其实现机理包括两个基本阶段：适应阶段和协作阶段。在适应阶段，各可行解根据积累的信息不断调整自身结构，路径上经过的蚂蚁越多，信息量越大，则该路径越容易被选择：时间越长，信息量越小。在协作阶段，各可行解之间通过信息交流，以期望产生性能更好的解。-Ant colony algorithm is a mimic ant colony behavior of bionic optimization algorithm, its implementation mec
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matlab实现的遗传算法和蚁群算法，结合了ooppo算法的优点，解决SJDFK问题，求其最优解的整个步骤，是个不错的程序，调试没有错误。-Genetic algorithm and ant colony algorithm matlab implementation, combined with the advantages of ooppo algorithm to solve SJDFK problem, the entire step of seeking the optimal sol
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matlab实现的遗传算法和蚁群算法，结合了ooppo算法的优点，解决SJDFK的特殊子问题，求其次优最优解整个步骤，是个不错的程序，完整运行，GUI界面清晰。
-Genetic algorithm and ant colony algorithm matlab implementation, combined with the advantages of ooppo algorithm to solve SJDFK specific sub-problems, find the optim
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matlab实现的遗传算法和蚁群算法，结合了ooppo算法的优点，解决SJDFK问题，求其最优解的整个步骤，是个不错的程序，调试没有错误
-Genetic algorithm and ant colony algorithm matlab implementation, combined with the advantages of ooppo algorithm to solve SJDFK problem, the entire step of seeking the optimal s
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matlab实现的遗传算法和蚁群算法，结合了tLzceV算法的优点，解决wFwXoLl问题，求其最优解的整个步骤，是个不错的程序，调试没有错误
-Genetic algorithm and ant colony algorithm matlab implementation, combined with the advantages oftLzceV algorithm to solve wFwXoLl problem, the entire step of seeking the opt
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用matlab实现的碎纸片还原问题，采用蚁群算法，源于14年数学建模国赛B题-Problems with scraps of paper reduction matlab implementation, using ant colony algorithm, 14 years of mathematical modeling Nations Championship B title
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PropCode2 is a MATLAB implementation of the algorithm described in Chap-ter 3 of The Theory of Scintillation with Applications in Remote Sensing byCharles L. Rino, John Wiley & Sons IEEE Press, 2010. The algorithm simulates
electromagnetic (EM) wav
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关于蚁群算法在大规模栅格地图中的实现，运行主函数便可以绘制避障路径(Implementation of ant colony algorithm in large scale raster map)
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