Description: 这是用Ant Colony System 解决tsp问题的C++源码
希望对大家研究蚂蚁算法有所帮助-This is used Ant Colony System solution tsp C source of hope for all research Ant Algorithm help Platform: |
Size: 3072 |
Author:刘新儒 |
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Description: 基于蚁群算法的发电机最优励磁控制系统基于蚁群算法的发电机最优励磁控制系统-based on the ant colony algorithm optimal generator excitation control system based on the ant colony algorithm generator optimal excitation control system Platform: |
Size: 459776 |
Author:李勇 |
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Description: 蚁群算法的进行线性系统的辨识，一个例题。-ant colony algorithm for linear system identification, one of excellence. Platform: |
Size: 3072 |
Author:luo |
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Description: 蚁群算法是解决电力调配系统和商场供货系统问题的有效算法,这里提供了一种蚁群算法,供大家参考-Ant colony algorithm to solve the power to deploy systems and shopping malls effective delivery system of algorithms, here provides an ant colony algorithm for the U.S. reference Platform: |
Size: 2381824 |
Author:穆海华 |
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Description: 基于栅格划分的环境中,研究了机器人路径规划问题中蚁群系统的“外激素”表示及更新方式,并将遗传算法的交叉操作结合到蚁群系统的路径寻优过程中,提高了蚁群系统的路径寻优能力,为蚁群算法的应用提供了一种新的探索。-Raster-based division of the environment, to study the issue of robot path planning in the ant colony system of Platform: |
Size: 30720 |
Author:高阳 |
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Description: 《An Introduction to Ant Colony Optimization》
作者：Marco Dorigo and Krzysztof Socha
时间：Technical Report No.TR/IRIDIA/2006-010April 2006
一份介绍蚁群系统的英文原版论文报告- An Introduction to Ant Colony Optimization Author: Marco Dorigo and Krzysztof Socha time: Technical Report No.TR/IRIDIA/2006-010April 2006 Colony introduce a system of paper reporting the original English edition Platform: |
Size: 502784 |
Author:严周广 |
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Description: 一个详细的 系统的介绍了 ant colony optimization 的ppt 对其中的原理做了比较详细的分类介绍 -A detailed system for the introduction of ant colony optimization principle ppt of them make a more detailed classification of introduction Platform: |
Size: 117760 |
Author:王超 |
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Description: 澳大利亚国防部蚁群系统，可以模拟两军对抗。-Australian Defense ant colony system, can simulate the confrontation between the two armed forces. Platform: |
Size: 516096 |
Author:zhujiang |
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Description: 蚁群算法基本原理（用助于初学者对蚁群算法的基本原理有一个系统的了解，图形界面、形象直观。）-The basic principles of ant colony algorithm (with help beginners on the basic principles of ant colony algorithm to have a system of understanding, graphical interfaces, visual image.) Platform: |
Size: 312320 |
Author:likaiqi |
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Description: 经典的蚁群算法蚁周模型的实现，论文：《Distributed Optimization by Ant Colonies》-ant colony system, ant circle Platform: |
Size: 156672 |
Author:nxliliang |
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Description: Short description: GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas. GUI Ant-Miner differs from the original algorithm as follows: It has a friendly graphical user interface, makes possible the use of ant populations within the Ant Colony Optimization (ACO) concept, data input file is standardized with the well-known Weka system, and runs on virtually any operating system since it is written in Java. Platform: |
Size: 72704 |
Author:xiaochuzhe |
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Description: ACO algorythm. This software package provides an implementation of various Ant Colony Optimization (ACO) algorithms applied to the symmetric Traveling Salesman Problem (TSP). The ACO algorithms implemented are Ant System, Elitist Ant System, MAX-MIN Ant System, Rank-based version of Ant System, Best-Worst Ant System, and Ant Colony System. Platform: |
Size: 34816 |
Author:Aco17 |
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Description: 蚁群算法的原理及其应用.pdf；；蚁群算法是优化领域中新出现的一种仿生进
化算法。该算法采用分布式并行计算机制,具有较强的鲁棒性 但有搜索时间较长,易陷入局部最优解的缺点。-The principle of ant colony algorithm and its application. Pdf ant colony algorithm is to optimize the emerging field of evolutionary algorithm for a bionic. The algorithm uses a distributed parallel computer system has strong robustness but search time is longer, easily falling into local optimal solution shortcomings. Platform: |
Size: 296960 |
Author:冒晶晶 |
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Description: 用于一般函数优化的蚁群算法,开发环境为VC++,很实用-Ant colony system is a novel simulated evolutionary algorithm which shows many excellent characters. Platform: |
Size: 204800 |
Author:辛莉 |
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