对微粒群算法结构的改进方案有很多种，对其可分类为：采用多个子种群；改进微粒学习对象的选取策略；修改微粒更新迭代公式；修改速度更新策略；修改速度限制方法、位置限制方法和动态确定搜索空间；与其他搜索技术相结合；以及针对多模问题所作的改进。-Structure of the particle swarm algorithm to improve the program there are many, its can be classified as: the use of multiple sub-p

萤火虫算法的改进版，位置更新添加随机算子，局部最优解添加轮盘扰动的方法。-Firefly algorithm improved version, the location update adds random operator, local optima add roulette perturbation method.

对粒子群算法的改进，利用一种名为自适应权重粒子的方法来更新粒子速度和位置，用来解决静态单目标优化问题-It is the improved particle swarm optimization algorithm. It introduced a kind method named adaptive weight to update the position and velocity of the particle. It can be used for handling single obj

对MFO算法飞蛾位置更新方法进行改进，加快其收敛速度(The moths position updating method of MFO algorithm is improved to accelerate its convergence speed)