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本书系统介绍MATLAB遗传算法和直接搜索工具箱的功能特点、编程原理及使用方法。(This book systematically introduce MATLAB Genetic Algorithm and Direct Search Toolbox features, programming principles and use.)

改进的粒子群算法，用于参数优化等问题，可以用于发表论文、科研等方面。(pso )

鱼群模型仿真，躲避鲨鱼袭击的模型，多智能体避障(Fish model simulation models avoid shark attacks)

equal file can equalize comm signal.

最大相关峭度解卷积，它比最大峭度解卷积去噪效果更好(The maximum correlation kurtosis deconvolution, it is larger than the maximum kurtosis deconvolution better denoising effect)

多旅行商MTSP问题遗传算法应用遗传算法求解多旅行商问题的算法设计,并将其与模拟退火算法比较与结合,有效提高了运算的速度和效率。(Multi traveling salesman MTSP problem genetic algorithm genetic algorithm to solve the problem of multiple traveling salesman problem algorithm design, and it is compared with the simulated annealing algorithm and the combination, effectively improve the speed and efficiency of the operation.)

Introduction Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent simulation tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate performance of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge.

仿真了无线通信系统中的瑞利信道，给出了瑞利信道的概率分布图形，可直接运行。(Simulation of a wireless communication system in the Rayleigh channel, Rayleigh channel is given the probability distribution of graphics, can be directly run.)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

Introduction à MATLAB et Simulink