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Description: ACSmatlabCode蚁群算法解TSP问题的源代码，希望对学习蚂蚁算法的朋友提供帮助。-ACSmatlabCode ACO for TSP source, and I hope to learn from the ant algorithm friends to help.
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Description: This toolbox contains Matlab code for several graph and mesh partitioning methods, including geometric, spectral, geometric spectral, and coordinate bisection. It also has routines to generate recursive multiway partitions, vertex separators, and nested dissection orderings and it has some sample meshes and mesh generators.
The toolbox contains a Matlab interface to Leland and Hendrickson s Chaco partitioning package, but it doesn t contain Chaco itself. The file "chaco/README" tells how to install the interface to Chaco. It also contains a Matlab interface to Karypis et al. s Metis partitioning package, using Robert Bridson s "metismex" code. -Matlab code for subdivided Cul mesh and graph partitioning methods, including geometric and spectral, geometric spectral, and coordinate bisection. It also has routines to generate recursive multiway partitions. vertex separators. and nested SLN orderings and it has some sample meshes and mesh generators. The toolbox contains a Matlab interface to Leland and Hendr ickson s Chaco partitioning package, but it doesn t contain Chaco itself. The file "ch un-aco@i-2000.com/README "tells how to install the interface to Chaco. It also contains a Matlab interface to Karypis et al. s Metis partitioning package, using Robert Bridson s "metismex" code.
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Description: PSO-ACO-TSP算法，解决旅行商问题，结合PSO和ACO算法-PSO- ACO- TSP algorithm to solve the traveling salesman problem, and with PSO and ACO Algorithm
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Author: liangwei |
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Description: 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 of the principle of" one book, mesh Strategy Implementation Act.
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Author: Peng |
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Description: 自编的多目标粒子群优化算法，可以运行哦。-Written and directed the multi-objective particle swarm optimization, you can run, oh.
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Size: 1024 |
Author: sunny |
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Description: 实现了一种高效的蚁群算法,它在旅行商问题中进行了测试-an effective and efficient aco
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Size: 12288 |
Author: 王临 |
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Description: 一个较好的蚁群MATLAB程序，附地图。-In this M-file, the implemention of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the iterative playing course.
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Size: 27648 |
Author: boy |
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Description: 基于蚁群算法的医学图像分割 PDF格式 论文-Ant colony algorithm based on medical image segmentation
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Size: 4000768 |
Author: 孙琰 |
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Description: General simulated annealing algorithm-anneal Minimizes a function with the method of simulated annealing (Kirkpatrick et al., 1983)
ANNEAL takes three input parameters, in this order:
LOSS is a function handle (anonymous function or inline) with a loss function, which may be of any type, and needn t be continuous. It does, however, need to return a single value.
PARENT is a vector with initial guess parameters. You must input an initial guess.
OPTIONS is a structure with settings for the simulated annealing. If no OPTIONS structure is provided, anneal uses a default structure. OPTIONS can contain any or all of the following fields (missing fields are filled with default values):
Verbosity: Controls output to the screen.
0 suppresses all output
1 gives final report only [default]
2 gives temperature changes and final report
Generator: Generates a new solution from an old one. Any function handle that takes a solution as input and gives a valid solution (i.e.
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Size: 4096 |
Author: Ping-Feng Xu |
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Description: 专门用于求解TSP问题的matlab编制的蚁群算法,此程序的优化效率和鲁棒性都非常好-Ant Colony Algorithm for Traveling Salesman Problem,very efficient and robust
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Author: 唐毅 |
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Description: 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 source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous function to solve for the case containing the constraints, you can first use the penalty function and other methods to deal with the problem into the unconstrained model, then use the origin codes solving
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Author: 孙准 |
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Description: a combination of aco and pso optimization
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Author: sarah |
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Description: 蚁群算法（ACO）和粒子群算法（PSO）的混合算法解决旅行商问题（TSP）的matlab代码-Ant colony optimization (ACO) and particle swarm optimization (PSO) of the hybrid algorithm to solve traveling salesman problem (TSP) in matlab code
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Size: 4096 |
Author: 薛栋 |
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Description: Ant colony algorithm and TSP
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Size: 34816 |
Author: Rouzbeh |
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Description: 使用ACO算法实现图像边缘检测，效果很好，做图像处理的肯定用得到，内含2008年IEEE原文-Simulation using ACO algorithm to image edge detection, the effect is very good,the man who do image processing must be used, including source code and documentation
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Author: 陈向 |
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Description: ACO求解QOS路由问题。该文件完全实现了蚁群算法求解QOS路由问题，取得了不错的效果。用matlab打开该文件，将文件中的输入参数列表复制到运行窗口中，然后运行该文件即可。-ACO routing problem solving QOS. This document is the ant colony algorithm to achieve QOS routing problem, and achieved good results. Using matlab to open the file, the file copied to the run input parameters list window, then run the file.
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Description: 用GA算法和ACO算法在MATLAB上解决TSP问题，附有31个城市的坐标数据-Coordinate data with GA algorithms and ACO algorithm in MATLAB to solve the TSP with 31 cities
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Size: 14336 |
Author: 刘洪佚 |
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Description: 群智能算法包括蚁群、粒子群算法等，以及人工免疫算法-Swarm intelligence algorithms include ant colony, particle swarm optimization, and artificial immune algorithm
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Size: 22528 |
Author: robert |
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Description: 采用matlab进行编程，运用粒子群算法及蚁群混合算法解决TSP问题-Using matlab programming, the use of hybrid particle swarm algorithm and ant colony algorithm to solve TSP problem
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Author: liuxing |
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Description: In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis, the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of food. The original idea has since diversified to solve a wider class of numerical problems, and as a result, several problems have emerged, drawing on various aspects of the behavior of ants. From a broader perspective, ACO performs a model-based search and share some similarities with Estimation of Distribution Algorithm.
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Author: reyhooon
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