ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

Cuckoo search algorithm (CS) is a valid bio-heuristic algorithm, which has been extensively applied to solve the optimal problem in actual engineering projects, due to the advantages of simplicity, few parameters and easy implementation. In order to improve the population diversity and global search efficiency of the standard CS algorithm, the different mutation processes of an improved difference evolution algorithm was introduced into the cuckoo algorithm. In the different mutation processes, the multi-strategy associated with random walks method of the CS algorithm was used to optimize the host discovery process. With the multi-strategy difference mutation operation, the diversity of the cuckoo population was improved in the process of the cuckoo searching. Meanwhile, in the improved cuckoo searching, the queue optimization mechanism was added to the new solution selection, combining with the greedy algorithm to reduce the attraction problem of the undesirable solution and speed up the search process. In addition, the improved cuckoo algorithm with multi-strategy different mutation processes was applied to particle filtering. The particles were characterized with the cuckoo nests, by simulating the process that the cuckoo groups searched the nests to optimize the particle distribution. The experiment result showed that the improved particle filter can improve the prediction accuracy of particle diversity and nonlinear system state, and it can keep a good robustness and stability in the case of the particle number decrease.