Description: 是一个基于Matlab软件的模糊C-means聚类算法原代码-Matlab is a software based on the fuzzy C-means clustering algorithm source code Platform: |
Size: 2048 |
Author:杨明 |
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Description: 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 Optimization Solutions Platform: |
Size: 6144 |
Author:chenjing |
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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: 大师级人物写的蚁群算法解决TSP问题,真的挺不错,你可以下下来看看的.- Program s name: acotsp
Ant Colony Optimization algorithms (AS, ACS, EAS, RAS, MMAS, BWAS) for the
symmetric TSP
Copyright (C) 2004 Thomas Stuetzle
This program is free software you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
email: stuetzle no@spam informatik.tu-darmstadt.de
mail address: Universitaet Darmsta Platform: |
Size: 89088 |
Author:duane |
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Description: 本软件主要用于进行蚁群算法实验，使用它不仅可以进行标准算法的验证与学习，还可以根据需要在图形界面中定制出自己的蚁群算法，同时，该软件中的算法模块可以很容易更换和升级，甚至可以自己按照帮助文件中所提到的接口，使用任何可以开发DLL的编程语言编写出能在本软件中使用的算法模块。-this project is for Ant Colony Optimization experiments.Users not only can learn the algorithm with it,but also can run your own implemented algorithm on this software. Platform: |
Size: 4699136 |
Author:李凡 |
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Description: 用基本的蚁群优化算法解决TSP问题，蚁群优化算法是解决常见的组合问题的常见的启发式方法-This software package provides an implementation of various Ant Colony Optimization (ACO) algorithms applied to the symmetric Traveling Salesman Problem (TSP). Platform: |
Size: 21504 |
Author:王伟 |
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Description: ACO tsp in Java A Java implementation of ACO algorithms for the TSP
This software provides an implementation of various Ant Colony Optimization (ACO) algorithms for the symmetric Traveling Salesman Problem (TSP). Platform: |
Size: 141312 |
Author:Gabriela-Adelaida |
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Description: Ant colony optimization toolbox, this toolbox is graph based toolbox. that can help you to understand who ant colony work. I hope that this software can useful for you Platform: |
Size: 415744 |
Author:Long |
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Description: this work aims to investigate the quality of software products a n important attribute of computer programs it helps to decide the degree of trustworthiness a program has in accomplishing its specific functions. This done using the Software quality model(SQMs) through the estimation of their parameters. The parameters are estimated in this work based on the available failure data and with the search techniques of Swarm Intelligence, namely, the Cuckoo Search (CS) due to its efficiency, effectiveness and robustness. A number of SQMs is studied, and the results are compared to Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and extended ACO. Results show that CS outperformed both PSO and ACO in finding better parameters-this work aims to investigate the quality of software products as an important attribute of computer programs it helps to decide the degree of trustworthiness a program has in accomplishing its specific functions. This is done using the Software quality model(SQMs) through the estimation of their parameters. The parameters are estimated in this work based on the available failure data and with the search techniques of Swarm Intelligence, namely, the Cuckoo Search (CS) due to its efficiency, effectiveness and robustness. A number of SQMs is studied, and the results are compared to Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and extended ACO. Results show that CS outperformed both PSO and ACO in finding better parameters Platform: |
Size: 80896 |
Author:ankur |
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Search - ant colony optimization software