《智能优化方法》汪定伟

说明：  求解多目标问题，业内最经典的多目标算法之一(to solve multi-object problem)

matlab实现蚁狮优化(ALO)算法，用于最优化计算(Matlab implements ant lion optimization (ALO) algorithm for optimization calculation)

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)

说明：  蜻蜓算法，详细，可运行，对蜻蜓的运动进行描述(Dragonfly algorithm, detailed, operational)

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)

用matlab实现levy概率分布，并作图，用于进化算法中调整步长(Using MATLAB to realize levy probability distribution and make a map for adjusting step size in evolutionary algorithm)

说明：  单目标带约束的随机漫步灰狼算法带初始化源代码(Single target grey wolf algorithm with constraint random walk source code)

说明：  采用蚁群算法对BP神经网络进行优化，并结合实例进行应用验证。(The ant colony algorithm is used to optimize the BP neural network, and an example is used to validate it.)

标准的PSO算法以及几个典型测试函数的matlab源程序，资料可供大家参考(Standard PSO algorithm and several typical test functions of Matlab source code, information for your reference.)

包含人群搜索算法源程序，和rastrigin、Schaffer和Spher三个函数的优化，并与PSO比较(Including the source program of crowd search algorithm, and the optimization of rastrigin, Schaffer and Sphere functions, and comparing with PSO)