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genetic algorithm combine Ant colony optimization for feature selection,genetic algorithm combine Ant colony optimization for feature selection
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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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蚁群算法的C++实现，VC6.0环境。基本蚁群算法+2OPT局部优化+Etlist精英解策略。-Ant colony algorithm C++ implementation, VC6.0 environment. The basic ant colony algorithm+2 OPT local optimization+ Etlist elite Solution Strategy.
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本文主要将蚁群算法用于解决连续函数优化的问题-This paper will be used for ant colony algorithm to solve the problem of continuous function optimization
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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
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关于蚁群算法的一本很经典的原版书籍，供分享研究-On the ant colony algorithm is a classic original books, for the sharing of research
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have recently become very interested in the area of genetic algorithms and Ant Colony Optimization techniques. I was determined to write a complete program demonstrating these two techniques. In particular I wanted to compare the efficiency of these
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Ant colony optimization algorithm
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运用C语言编写的蚁群算法，实现算例的优化-The use of C language ant colony algorithm, optimization examples to achieve
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连续蚁群算法求解函数优化问题，Continuous Ant Colony Algorithm for Function Optimization-Continuous Ant Colony Algorithm for Function Optimization
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蚁群算法求解连续空间优化问题的一种算法，很有用-Ant Colony Algorithm for continuous space optimization problems an algorithm
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Based on ant colony optimization for edge detection in images
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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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edge detection using ant colony optimization
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蚁群算法源代码，无须修改便可以直接编译执行-Ant colony algorithm source code, no need to change the implementation can be directly translated
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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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發現蟻群優化的分類規則和快速改進約簡算法-Classification Rule Discovery with Ant Colony Optimization and Improved Quick Reduct Algorithm
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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 a
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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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