Description: 基于MATLAB的蚁群算法连续函数优化，含帮助文件及论文-MATLAB-based ant colony algorithm for function optimization, with help documents and papers Platform: |
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Author:zangtianlei |
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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 Platform: |
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Author:孙准 |
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Description: matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS
前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。
遗传算法解决最小生成树问题，PURFER编码。
粒子群算法做无约束最优化问题。
蚁群算法解决TSP问题。
如果有宝贵经验希望能交流一下，谢谢，-matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm for calculation of AS some time ago on the intelligent test classes, make their own procedures. Quote here, hope someone can improve them, and exchange of experience which is more valuable. Genetic algorithm to solve the minimum spanning tree problem, PURFER coding. Particle swarm optimization to do unconstrained optimization problem. Ant colony algorithm to solve the TSP problem. If there is hope to exchange our experience, thank you, He He Platform: |
Size: 5120 |
Author:stephen |
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Description: 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，-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 a non-binding model, and then use the source code is solved, Platform: |
Size: 2048 |
Author:张望 |
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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: 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:
Boundary element potential measur
Classical algorithm matlab Bounda
ant colony optimization (ACO)
The pretreatment of the mechanica
Fuzzy C-means algorithm for clust
matlab m file,draw all surface
Imperialist Competitive Algorithm
matlab solutions for partial diff
Maximum likelihood Identification
images of fishes for claassifyica
CHEMICAL PROCESS CONTROL
This code produces LTE reference
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Matlab write the finite element p
Multiscale envelope spectrum prog
Computational Colour Science Usin
Capital markets, market line fore
The procedure for the calculation
Example to use smtrain and svmcla
user interface with Matlab Kalman Platform: |
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Author:saru |
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Description: 《MATLAB智能算法超级学习手册》随书光盘，《MATLAB智能算法超级学习手册》的内容主要包括马尔科夫链模型、层次分析法、粒子群算法、遗传算法、蚁群算法、鱼群算法、PID控制算法、神经网络算法等。智能算法对于很多初学者而言，有一定的困难，很难理解程序流程、数据的运算过程，因此给实际应用带来困难。本书将围绕智能算法展开综述，深入浅出地介绍和分析各类智能算法，用智能算法解决工程应用问题。-Content " MATLAB super intelligent algorithm to study the manual" CD with the book, " MATLAB super intelligent algorithm to learn Manual" includes Markov chain model, AHP, particle swarm optimization, genetic algorithm, ant colony algorithm, fish algorithm, PID algorithms, neural network algorithms and other controls. Intelligent Algorithm For many beginners, there are certain difficulties, it is difficult to understand the program flow, data calculation process, and therefore difficult to practice. The book will focus on intelligent algorithms were summarized, easy to introduce and analyze various types of smart algorithm, using intelligent algorithms to solve engineering problems. Platform: |
Size: 450560 |
Author:zhang |
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Description: 蚁群算法(Ant Colony Optimization,ACO)是一种新颖的组合优化算法,它具有较强的鲁棒性、优良的分布式计算机制、易于与其他方法相结合等优点.包括改进的蚁群算法求解最优路径MATLAB源码，运行环境R2014b-Ant colony algorithm (Ant Colony Optimization, ACO) is a novel combinatorial optimization algorithm that is robust, excellent distributed computer system, easy to combine with other methods and other advantages, including improved ant colony algorithm find the optimal path MATLAB source, operating environment R2014b Platform: |
Size: 6144 |
Author:高帅 |
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Description: 用改进蚁群算法求解一类连续空间优化问题的matlab实现-With improved ant colony algorithm to solve a class of continuous space optimization problems of matlab Platform: |
Size: 2048 |
Author:Ayvin |
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Description: 用改进蚁群算法求解一类连续空间优化问题的matlab实现-With improved ant colony algorithm to solve a class of continuous space optimization problems of matlab Platform: |
Size: 2048 |
Author:NOJK+52394 |
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Description: With improved ant colony algorithm to solve a class of continuous space optimization problems of matlab Platform: |
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Author:assuie
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Description: 用MATLAB实现复杂环境移动机器人路径规划算法的研究，分别采用了A星算法，迪杰斯特拉算法，蚁群算法以及蚁群寻径迪杰斯特拉优化路径的混合算法，并通过仿真进行验证。(Research and implementation of complex environment of mobile robot path planning algorithm with MATLAB, respectively, using the A star algorithm, Dijkstra algorithm, ant colony algorithm and ant colony optimization hybrid algorithm to optimize the path of Dijkstra size, and verified by simulation.) Platform: |
Size: 119808 |
Author:窗外阴雨凉
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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: |
Size: 48128 |
Author:reyhooon
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Search - ant colony optimization with matlab