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蚁群算法连续函数优化问题matlab程序-Continuous function optimization problems ant colony algorithm matlab program
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我个人收集的各类智能算法，共有20多个源代码，包括：遗传算法，蚁群算法，粒子群算法，微分进化算法，遗传神经网络算法，粒子群SVM算法，粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
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matlab编写的蚁群优化tsp程序，很不错，希望大家喜欢-ant colony optimization matlab prepared tsp procedures, very good, I hope everyone likes
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用matlab软件实现蚁群算法，该算法适合组合优化问题的求解问题，应用该程序可以再软件上解蚁群优化问题-Matlab software using ant colony algorithm, the algorithm is suitable for solving combinatorial optimization problems issues, applications software, the program could be the issue on Ant Colony Opti
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ant colony optimization
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Contour Correspondence via Ant Colony Optimization
Oliver van Kaick <ovankaic@cs.sfu.ca>
http://www.cs.sfu.ca/~ovankaic/personal/
This MATLAB implementation computes a correspondence between two shapes
based on ant colony optimi
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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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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.
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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
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基本蚁群优化算法的MATLAB程序-ant colony optimization-------------------------------------
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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，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 constra
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基于蚁群算法的PID控制参数优化Matlab源码-PID Control Based on Ant Colony Optimization Algorithm for Matlab source
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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.
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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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基于蚁群算法的PID参数优化matlab实现源码，参数优化，人工智能。-PID parameters based on ant colony optimization matlab source implementation, parameter optimization, artificial intelligence.
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Matlab
matlab codes for ant colony optimization -Matlab
matlab codes for ant colony optimization
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蚁群算法，计算各个城市之间的线路问题，使用matlab实现-aco ant colony optimization，matlab
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ant colony optimization matlab code
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ant colony optimization algorithm implementation matlab
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蚁群优化是一组概率性元启发式算法和智能优化算法，受蚂蚁社会行为的启发。(Ant Colony Optimization (ACO) are a set of probabilistic metaheuristics and an intelligent optimization algorithms, inspired by social behavior of ants.)
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