《智能优化方法》汪定伟

基于遗传算法的LQR控制器优化设计，二自由度振动系统(Optimal design of LQR controller based on genetic algorithm and two degree of freedom vibration system)

粒子群算法的寻优机制，另附十余个测试函数。主程序为test_basic(Particle Optimization Algorithm)

利用遗传算法实现机器人最优路径规划，优化算法步骤实现迭代次数最第，包括文档说明和算法说明(The genetic algorithm is used to realize the optimal path planning of robots, and the optimal algorithm steps are used to achieve the highest number of iterations, including document description and algorithm description.)

竞争群算法（CSO）的matlab实现。(The Matlab Source code of the Competitive Swarm Optimizer (CSO))

说明：  差分进化原始算法，有多个案例用于理解和运用(The original differential evolution algorithm has many cases for understanding and application)

说明：  贝叶斯算法优化了LSSVM的算例，算例中有贝叶斯算法优化，相对比较少见的优化。(Bayesian algorithm optimizes LSSVM examples)

利用GA遗传算法优化PID控制器中的参数，实现对对控制器的改善，以求稳准快(GA genetic algorithm is used to optimize the parameters in the PID controller, so that the controller can be improved so as to stabilize the system quickly.)

对传统遗传算法进行了改进，简单易懂可运行(The traditional genetic algorithm is improved, which is simple, easy to understand and run)

说明：  使用matlab 实现遗传算法，算法采用二进制交叉变异，对于初学者很好理解(Use matlab to implement genetic algorithm, the algorithm uses binary crossover mutation, which is well understood for beginners)

引力搜索算法优化函数，可以运行，适合学习这个算法用(The gravitational search algorithm optimizes functions that can be run.)