Description: 蚁群算法是模仿真实的蚁群行为而提出的一种模拟进化算法，蚂蚁之间是通过一种信息素的物质传递信息的，蚂蚁在运动的过程中能够在经过的路径上留下该物质，而且能够感知这种物质的存在及其强度，并以此指导自己的运动方向。它是一种通过类比组合优化和蚁群觅食行为而构造的一种算法，可以用来解决各种组合优化问题，本代码用来解决生产调度问题-Ant colony algorithm is based on real ant colony behavior and proposed a simulated evolutionary algorithm, ants are among the pheromone through a material and impart information, ants in the process of movement in the path on the left of the substance , but also perceived the existence of such material and its strength, and to guide their direction. By analogy it is a combinatorial optimization and ant colony foraging behavior and structure of an algorithm can be used to solve various combinatorial optimization problems, the code used to solve the production scheduling problem Platform: |
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Author:穆海华 |
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Description: 非常好的优化算法的书，详细介绍了蚁群算法和粒子群算法以及相关的matlab工具箱，讲了理论和应用给出了工具箱的下载地址。
Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions. -Optimization algorithm very good book, detailing the ant colony algorithm and particle swarm optimization and related matlab toolbox, talked about the theory and application are given toolbox download address. Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions. Platform: |
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Author:dh |
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Description: 智能优化算法：蚁群算法的程序matlab 方便初学者学习-Intelligent optimization algorithms: ant colony algorithm to facilitate the procedures for matlab beginners to learn Platform: |
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Author:jack |
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Description: This a demo program of image edge detection using ant colony, based on
the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," 基于蚁群算法的图像边缘检测。IEEE于2008收录的文章.有matlab源程序和“An Ant Colony Optimization Algorithm For Image Edge Detection”这篇PDF文章。希望对大家有一定帮助。-This is a demo program of image edge detection using ant colony, based on the paper, " An Ant Colony Optimization Algorithm For Image Edge Detection," Based on Ant Colony Optimization Image Edge Detection. IEEE in 2008 included in the article. Matlab source code and there is " An Ant Colony Optimization Algorithm For Image Edge Detection" This PDF article. Hope to assist everyone must have. Platform: |
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Author:miaosiyi |
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Description: 蚁群算法在求解连续空间优化问题中的应用研究-Ant colony algorithm in continuous space optimization problem solving in applied research Platform: |
Size: 1024 |
Author:郭桃 |
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Description: 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. Platform: |
Size: 38912 |
Author:cheikh |
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Description: 在matlab环境中用蚁群算法寻优潜水器的三维路径，效果很好-In the matlab environment, using ant colony optimization algorithm for three-dimensional underwater vehicle path, good results Platform: |
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Author:史峰 |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码,步骤详细，附有说明。-PID Control Based on Ant Colony Optimization Algorithm for Matlab source, the steps in detail, with explanation. Platform: |
Size: 2048 |
Author:程玉昆 |
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Description: 蚁群算法（ACO）解决旅行商问题（TSP）的matlab程序。数据取自Oliver30。-Ant colony optimization (ACO) to solve the traveling salesman problem (TSP) in the matlab program. Data from Oliver30. Platform: |
Size: 4096 |
Author:薛栋 |
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Description: 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 detail in: Platform: |
Size: 37888 |
Author:harish |
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Description: 蚁群算法在matlab下优化10个函数的方法。其中函数有单变量多峰值，单变量单峰值的，也有多变量多峰值的函数。-Ant colony algorithm in matlab optimization function 10. Which a single variable and multi-peak function, the single peak of a single variable, but also more variable multi-peak function. Platform: |
Size: 9216 |
Author:jinhongjian |
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Description: matlab编写的蚁群算法，即在图中寻找优化路径的机率型算法，结合遗传算法进行了改进。-ant colony algorithm matlab prepared in the graph to find the probability-based algorithm for optimal path, combined with genetic algorithm is improved. Platform: |
Size: 2048 |
Author:renxueshi |
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Description: 通过matlab仿真和验证蚁群算法在PCB板检测时路径的优化问题。附带蚁群算法代码以及仿真结果。-Through MATLAB simulation and validation of ant colony algorithm in PCB plate detection route optimization problem.thisfile include ant colony algorithm codes and simulation results. Platform: |
Size: 112640 |
Author:姜伟 |
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Description: 蚁群算法是一种常用的全局最优化方法，可在matlab中实行他的计算。-The ant colony algorithm is a global optimization method can be implemented in matlab his calculations. Platform: |
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Author:yanfeiyi |
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Description: 利用蚁群在搜索食物源的过程中体现出来的寻优能力来解决离散系统中的一些优化问题(Some optimization problems in discrete systems are solved by using ant colony optimization capability in searching for food sources) Platform: |
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Author:Kevin-wang
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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. Platform: |
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Author:reyhooon
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