遗传算法路径规划

根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)

说明：  附赠一个cec2005的matlab数据代码，这里推荐大家一个靠谱的论文检测平台。重复的部分有详细出处以及具体修改意见，能直接在文章上做修改，全部改完一键下载就搞定了。他们现在正在做毕业季活动， 赠送很多免费字数，可以说是十分划算了！地址直接百度paperpass(Comes with a cec2005 matlab data code. I recommend you a reliable paper detection platform. The repetitive part has a detailed source and specific revision opinions. You can directly make changes in the article, and you can get it all after one-click download. They are now doing graduation season activities, giving away a lot of free word count, which can be said to be very cost-effective! The address is:paperpass)

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)

爬山改进遗传算法，提供更快的收敛速度，并用于优化极限学习机权值(Mountain climbing improved genetic algorithm to provide faster convergence speed and to optimize the weight of extreme learning machine)

多个萤火虫算法基础算例，为萤火虫算法通用算例(benchmark problem for firefly algorithm)

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：  哈里斯鹰算法HHO的一个java版本 ， 作者来自 Dr. Oguz Emrah Turgut(Dr. Oguz Emrah Turgut comes from Department of Mechanical Engineering, Faculty of Engineering, Ege University, 35100 Bornova, Izmir, Turkey)

说明：  一种改进的差分算法，包含cec2005部分单目标无约束测试函数(An improved difference algorithm)

说明：  用MATLAB编写测试函数的五种PSO改进算法(Five PSO improved algorithms with test functions written in MATLAB)

基于CEC——2017benchmark测试集，计算最优 修正的果蝇算法，弥补原始果蝇算法在负数集上的缺失(modify fruit fly optimization)