果蝇算法参考

改进的灰狼算法用于重油热解模型的建模程序(greywolf algorithm for observation of heavy oil thermal cracking)

基于子区域的粒子群优化算法研究，粒子群算法是进化算法的一种，多用于路径规划等问题(Subregion-based Particle Swarm Optimization)

minmin算法，适用于任务调度，可以与GA以及PSO等进行比较，是最基础的算法。(Minmin algorithm is suitable for task scheduling.)

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)

基于变异策略的改进型花朵授粉算法，里边集成了粒子群算法、蝙蝠算法以及定向变异策略，进行对比(An improved flower pollination algorithm based on mutation strategy, which integrates particle swarm optimization, bat algorithm and directional mutation strategy, is compared.)

说明：  这是群智能优化算法，布谷鸟搜索算法，用matlab实现，用函数优化进行测试，简单易懂(This is swarm intelligence optimization algorithm, cuckoo search algorithm, implemented in matlab, test with function optimization, easy to understand)

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：  基于精英变异算法的电动汽车充电优化策略以及结果的可视化(EV charging optimization strategy based on elite mutation algorithm and the visualization of results)

原始的最优化算法，用来求解最小值最大值，适合新手入门学习(fruit fly optimization)

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)