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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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蚁群算法的Matlab程序，用于连续函数优化-Ant colony algorithm Matlab program for continuous function 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，仅供学习参考。-This source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous functions to solve the learning reference purposes only.
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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
-The general MATLAB source of unconstrained artificial ant colony algorithm for continuous function optimization
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蚁群算法 解决连续与离散问题 课程作业，自己测试有效。-Ant colony algorithm to solve the problem of continuous and discrete coursework, test yourself effectively.
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蚁群算法连续函数优化问题。包含FIT测试函数，主函数。-Ant colony optimization algorithm for continuous function. Contains FIT test function, the main function.
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Ant Colony Optimization (ACO) is an optimization metaheuristic based on the foraging behavior of ants. This metaheuristic was originally proposed to find good solutions to discrete combinatorial problems. Many extensions of the ACO heuristic for cont
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蚁群算法实现连续函数优化问题，包含程序说明。-Ant colony algorithm for continuous function optimization problems, including program instructions.
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蚁群算法是一种分布式内在并行算法。单个蚂蚁的搜索过程是彼此独 立的，易于局部最优，通过个体间不断的信息交流和传递有利于发现较好解；并且该算法是一种正反馈算法。路径上的信息素浓度较高，将吸引更多的蚂蚁沿这条路径运动，又使得信息素浓度增加，加快了算法的进化过程。本文通过求解TSP问题，通过在特定情况下对路径进行逐步遍历比较来降低陷入局部最优解的可能性, 找出最优解。-Ant colony algorithm is an inherent distributed parallel algorithm.
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