hill-climbing algorithm 爬山算法简介 参考链接: Hill爬山算法 简介爬山算法是一种局部择优的方法,采用启发式方法,是对深度优先搜索的一种改进,它利用反馈信息帮助生成解的决策。 属于人工智能算法的一种。 算法: function HILL-CLIMBING(problem) returns a state that is a local maximum inputs: problem, a pro...
hill climbing algorithm 简介爬山算法是一种局部择优的方法,采用启发式方法,是对深度优先搜索的一种改进,它利用反馈信息帮助生成解的决策。 属于人工智能算法的一种。 算法: functionHILL-CLIMBING(problem)returnsa state that is a local maximum inputs:problem,a problem local variables:current, a node neighbor...
2) hill climbing algorithm 爬山算法 1. Design of boolean functions using mixed hill climbing algorithms; 混合爬山算法设计布尔函数 2. Furthermore,the system can obtain the optimal current of object lens by the Hill Climbing Algorithm. 本系统依靠FEI公司提供的接口函数(API)采集样品的图像,利DCT...
hill climbing (algorithm) Agraphsearchalgorithmwhere the current path is extended with a successor node which is closer to the solution than the end of the current path. In simple hill climbing, the first closer node is chosen whereas in steepest ascent hill climbing all successors are compared...
网络释义 1. 爬山算法 并且使用爬山算法(hill-climbing algorithm)检测吞吐量,判断是否能够通过更多的线程来完成更多的工作项。这个算法的判断 …zzk.cnblogs.com|基于17个网页 例句 释义: 全部,爬山算法 更多例句筛选 1. finally, the hill-climbing algorithm is used as automatic focusing control strategies. ...
This premiss has a main implication: under this intuition, it is assumed that at each step of a hill-climbing algorithm, the new solution reduces the distance to the local optima. In this paper, we prove that this statement is not necessarily true. In fact, for some permutation-based ...
hill-climbing algorithm 英 [hɪl ˈklaɪmɪŋ ˈælɡərɪðəm] 美 [hɪl ˈklaɪmɪŋ ˈælɡərɪðəm]网络 攀登演算法; 爬山算法 ...
The previously developed hill climbing algorithm is extended by return preventing constraints and their influence on computational effectiveness is studied within this paper. Especially, we focus on finding the most suitable form of the return preventing constraints and strategy of their implementation. ...
The focus of our research was on the classification of criteria for item selection and on an algorithm that assembles a test using these criteria. The criteria are expressed through parameters of a heuristic function used to evaluate a test's quality; they were derived from teaching experience ...
Unlike the existing threshold detection methods which measure the statistics of histogram in the multi-modal images, our approach analyses the shape representation of multi-modal which has several hill-climbing curves. The behavior of algorithm works like human vision which focuses on the high ...