面试老鼠和猫连动问题的集中解决方案 可以建议应付面试问题...

针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.

基于遗传算法的人工生命模拟，C++源代码-Based on genetic algorithm artificial life simulation, C++ Source code

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类中局部进行。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning the expansion of the form. The convergence of self-organization and supervision of the instructors, learning methods of competition, but there are ways teachers to supervise, meaning that the competitive learning is the training input from the designated categories of partial.

基于Hopfield人工神经网路的室内全域路径优化。主要是利用Hopfield求解TSP的方法。用于课程设计。-based on artificial neural network Hopfield indoor entire domain path optimization. Hopfield is mainly used for TSP method. For course design.

bayes network 的分三角形的算法-bayes network breakdown triangle algorithm

《神经网络模式识别及其实现》源程序-"pattern recognition and neural network to achieve" source

pso智能算法程序，结合这个程序会对算法有更深的认识-intelligent algorithm PSO procedures, combined with this procedure will have a deeper understanding of algorithm

使用clips解决4人限定时间过河问题。附带clips源代码。-use clips resolve four limit the time the river issues. Fringe clips source code.

禁忌搜索法对初始解、邻域个数及禁忌列表的大小等参数有比较严格的要求, 这些参数直接影响着算法的优化能力。文章提出了一种改进的禁忌搜索法, 它用有效空间来压缩搜索范围, 这样可以提高搜索效率和全局搜索能力。用短期和长期禁忌列表存储器来保证算法能搜索到全和分局空间的每一点, 并且不重复搜索。经过验算析, 证明它是一种较好的全局启发式搜索法.-Tabu search method, the initial solution, neighborhood and tabu list size of the number of parameters such as have more stringent requirements, these parameters directly affect the ability to optimize the algorithm. This paper presents an improved tabu search method, it is used effectively to compress the search space, so that can improve search efficiency and global search capabilities. Short-term and long-term memory tabu list to ensure the algorithm can search the whole and the sub-space, each point, and do not repeat the search. After checking analysis to prove that it is a good global heuristic search method.

牌照自动识别-license Automatic Identification