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cvrp
- 蚁群算法是近年来出现的一种新德仿生类进化算法[8]，它的基本原理源于昆虫学家们的观察和发现 -ant algorithms, which is the emergence of a new category of bionic Germany evolutionary algorithm [8] it stems from the basic tenets of the entomologist observed and found
gui_antminer
- 蚂蚁算法，通过自适应自动搜索路径，JAVA 程序-ant algorithms, adaptive automatic search path, JAVA program
ACO_Peng_V4
- 这是我用matlab编写的，利用蚁群算法（ACO）求连续函数最优解的源码。是对段海滨《蚁群算法原理及应用》一书中，网格策略法的实现。-This is my prepared using Matlab, using ant algorithms (ACO) function for the optimal solution for the source code. On the waterfront of the "ant colony algorithm and application
libMeridian-1.0.tar
- 件主要用于帮助计算机爱好者学习蚁群算法时做有关蚁群算法的试验。蚁群算法作为一种优秀的新兴的算法，具有非常广的应用前景，越来越多的人开始学习蚁群算法，因此本软件也有推广前景。 本软件除了用于教学目的外，还可用于解决实际生活中的与TSP（即，旅行商问题）问题相关的问题。-mainly used to help computer enthusiasts Ant learning algorithm to do the ant algorithm tests. Ant algorithm is a go
FOA
- 台湾学者新发现的一种新型的算法，可以和遗传算法、蚂蚁算法对比学习。[潘文超]果蠅最佳化演算法_簡體版-Taiwan scholars discovered a new type of algorithm that can and genetic algorithms, ant algorithms comparison study. [Pan Chao] Drosophila optimization algorithms _ Simplified
algorithms
- 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,
Gentic_and_Ant_Algorithm_demo
- 遗传算法应用-Application of genetic algorithms
tsp
- 该程序是蚁群算法和遗传算法的混合算法的C语言程序在求解TSP问题时的应用，可以进行扩展到其他问题的两种算法应用-The program is ant colony algorithm and genetic algorithm hybrid algorithm in the C language program to solve the issue of the application of TSP, can be extended to other applications of the tw
artificial_intelligence_demo_programs
- 光盘中的演示实例是人工智能原理和方法的演示程序.包括基于归结原理的推理系统,合一算法,等式归结,归类算法,野人与传教士过河问题,八数码问题,八皇后问题,一字棋,博弈算法,遗传算法和蚁群算法等的演示。-CD-ROM presentation of a number of examples of the hard work of graduate and undergraduate results. Including reasoning based on the principle of the
artificial_intelligence_demo_programs
- 光盘中的演示实例是人工智能原理和方法的演示程序.包括基于归结原理的推理系统,合一算法,等式归结,归类算法,八数码问题,八皇后问题,一字棋,博弈算法,遗传算法和蚁群算法等的演示。-CD-ROM presentation of examples of the principles and methods of artificial intelligence demo program. Including reasoning based on the principle of the system c
ACO.ZIP
- 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
GeneticandAntAlgorithms_src
- 关于遗传算法与蚁群算法的VC源程序，分别编写-Genetic and Ant Algorithms
antcolonyanalysis
- 蚁群算法 算法设计与分析 ，讲解详细！！ 见过的最好的讲解文档-Ant Colony Algorithm design and analysis of algorithms, explain in detail! ! The best ever seen on the document
080502
- 基于MATLAB的蚁群算法仿真研究 ：介绍了基于MATLAB的蚁群算法仿真研究。对佛罗里达州六城市旅行商问题进行了MATLAB仿真，计算结果显示，作为新型 进化算法，蚁群算法能够解决复杂组合优化问题。-Ant colony algorithm based on MATLAB Simulation: This paper introduces the ant colony algorithm based on the MATLAB simulation. Six Cities of Flo
ACOTSP.V1.0
- 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 yo
5Source
- 包含5个数值智能算法，能实现PI的求解，遗传算法和蚁群算法，贪吃蛇以及学生管理系统。-It contains 5 numeric intelligent algorithm, to achieve PI solving, genetic algorithms and ant colony algorithm, Snake and student management systems.
A_review_of_ant_algorithms
- 详细介绍了蚁群算法最近几年的应用领域，是一篇研究蚁群算法的入门级文章。希望对想深入研究此算法的朋友有所帮助。-this paper addressed the application of the ant colony alogrithm in recent years.you can learn the alogrithm of soft computing as a beginner.I hope this paper could be useful for you.
Genetic-and-Ant-Algorithms_src
- Visual C++实现的遗传算法和蚁群算法的小软件-Genetic and Ant Algorithms source
ant
- 该压缩文件包含常用的人工智能算法中的蚁群算法的程序-The compressed file contains the artificial intelligence algorithms commonly used procedures in the ant colony algorithm
aritificial-ant-algorithms-for-TSP
- 应用双种群蚁群算法解决TSP问题，计算速度快，准确率高-Application of ant colony algorithm to solve TSP double population problem, computational speed, high accuracy