Genetic algorithm procedure is very easy to use. Suitable model for solving the...

使用于初级使用者.能够直接使用采用最优化算法 遗传算法-use in the primary users. To use the most direct use of genetic algorithm optimization algorithm

Biome是一个c++库，它的目的是个人_基于代理的模拟器（象 Swarm 或EcoSim）。它试图尽可能达到高效并且同时有好的设计-PROJECT is a c library, it is aimed at individual _ Agent-based simulator (like Swarm or EcoSim). It seeks to achieve efficient as possible while it is good design

SCE算法： 简单进化算法的matlab标准实现，内含3个m文件，英文说明。-SCE algorithm: a simple evolutionary algorithm matlab standards achieved, containing 3 m documents, the English description.

遗传算法中的简单遗传算法，用matlab实现。-genetic algorithm simple genetic algorithm, using Matlab to achieve.

遗传算法的c语言实现-genetic algorithm in C Language

The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing dynamic binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks:

人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.

网络为３层结构，输入层为６个神经元，隐含层为４个神经元，输出层为１个神经元，当输入层为中心对称样本 1，0，0，0，0，1等时，网络输出为1，否则输出为0。-network of three-layer structure, input layer to six neurons to the hidden layer 4 neurons, the output layer to a neuron, when the input layer to the center symmetry samples such as 1,0,0,0,0,1, the output of a network, the output is 0.

采用MFC技术，实现蚁群算法和遗传算法，形象化了算法实现的过程，有助于我们的学习和理解。-Use of MFC technology to realize ant colony algorithm and genetic algorithm, visualization of the algorithm implementation process, contribute to our learning and understanding.

针对TSP问题，提出了一种改进的遗传算法。在遗传算法中引入进化算法的思想，在此基础上提出顶端培育策略和分阶段策略，以求在保证群体多样性的同时加快收敛速度。-against TSP, an improved genetic algorithms. Genetic Algorithm evolutionary algorithm introduced the idea that the basis of this proposed strategy and cultivating top phased strategy groups in order to ensure diversity at the same time speed up the convergence.