RankNCG

通信系统仿真原理与无线应用书中matlab源程序(Communication System Simulation Principle and wireless applications matlab source book)

matlab和delphi的混合编程让你在轻松搞定界面的时候也轻松搞定计算(matlab and mixed delphi programming allows you to easily get in when the interface easy to get the calculation)

多目标优化问题计算，主要用于工程计算，工程优化。(Multi-objective optimization problem and the calculation, mainly for engineering calculations, engineering optimization.)

this is a prototype of histogram function

传感器网络,搭建传感器网络，实现定位，判断定位误差(wireless sensor network)

The earliest work on adaptive filters may be traced back to the late 1950s, during which time a number of researchers were working independently on theories and applications of such filters. From this early work, the least-mean-square ð LMSÞ algorithm emerged as a simple, yet effective, algorithm for the design of adaptive transverse (tapped-delay-line) filters.

target windows data set up file for code warrior assembly

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

基于MATLAB的遗传算法的源程序,内含交叉变异等多种方式的源码。(Based on MATLAB genetic algorithm source code, including crossover and mutation of the source of a variety of ways.)

基于文化算法的粒子群优化算法能记忆遍历过的最优值(Culture-based particle swarm optimization algorithm to traverse through the optimal value of the memory)