Description: General simulated annealing algorithm-anneal Minimizes a function with the method of simulated annealing (Kirkpatrick et al., 1983)
ANNEAL takes three input parameters, in this order:
LOSS is a function handle (anonymous function or inline) with a loss function, which may be of any type, and needn t be continuous. It does, however, need to return a single value.
PARENT is a vector with initial guess parameters. You must input an initial guess.
OPTIONS is a structure with settings for the simulated annealing. If no OPTIONS structure is provided, anneal uses a default structure. OPTIONS can contain any or all of the following fields (missing fields are filled with default values):
Verbosity: Controls output to the screen.
0 suppresses all output
1 gives final report only [default]
2 gives temperature changes and final report
Generator: Generates a new solution from an old one. Any function handle that takes a solution as input and gives a valid solution (i.e. Platform: |
Size: 4096 |
Author:Ping-Feng Xu |
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Description: 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 source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous function to solve for the case containing the constraints, you can first use the penalty function and other methods to deal with the problem into the unconstrained model, then use the origin codes solving Platform: |
Size: 2048 |
Author:孙准 |
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Description: This MATLAB implementation computes a correspondence between two shapes
based on ant colony optimization (ACO). The input shapes can be either
two 2D contours (open or closed) or two arbitrary sets of 2D points. The
algorithm is described in detail in: Platform: |
Size: 37888 |
Author:harish |
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Description: 多种群蚁群算法解决pst问题的matlab代码，很有借鉴意义-Multiple ant colony system optimization algorithm for sovling TSP problem Platform: |
Size: 12288 |
Author:zongxinlu |
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Description: 蚁群算法是现代优化算法，这个是直接可以编译通过的蚁群算法求解51城市的TSP问题的MATLAB源代码
-Ant colony algorithm is a modern optimization algorithm, which is directly compiled by the ant colony algorithm to solve the 51 cities of the TSP problem MATLAB source code Platform: |
Size: 10240 |
Author:xulin |
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Description: 蚁群算法(Ant Colony Optimization,ACO)是一种新颖的组合优化算法,它具有较强的鲁棒性、优良的分布式计算机制、易于与其他方法相结合等优点.包括改进的蚁群算法求解最优路径MATLAB源码，运行环境R2014b-Ant colony algorithm (Ant Colony Optimization, ACO) is a novel combinatorial optimization algorithm that is robust, excellent distributed computer system, easy to combine with other methods and other advantages, including improved ant colony algorithm find the optimal path MATLAB source, operating environment R2014b Platform: |
Size: 6144 |
Author:高帅 |
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Description: 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 ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis, the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of food. The original idea has since diversified to solve a wider class of numerical problems, and as a result, several problems have emerged, drawing on various aspects of the behavior of ants. From a broader perspective, ACO performs a model-based search and share some similarities with Estimation of Distribution Algorithm. Platform: |
Size: 48128 |
Author:reyhooon
|
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Description: This algorithm tells about optimization of a function using Ant colony Optimization Matlab. Platform: |
Size: 28672 |
Author:viktrose |
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Description: 一种经典蚁群算法的matlab代码，可进行函数的优化，内含函数的优化。(A classical ant colony algorithm's matlab code, can carry out the function optimization, contains the function optimization.) Platform: |
Size: 2048 |
Author:言叶之庭1 |
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