Develops cutting plane methods, integral basis methods, enumerative and heuristic methods and approximation algorithms.
阐述割平面方法、整基方法、枚举和启发式方法和逼近算法。
Based on extensive researches on various heuristic methods, an objective-based heuristic algorithm was developed to solve the 2d rectangle packing problem.
为解决二维矩形布局问题,在广泛研究各种启发式方法的基础上,提出了基于目标的启发式算法。
Feature weighting is one of the important problems for feature weighting based KNN algorithm, and many heuristic methods have been employed to solve the problem traditionally.
特征权重学习是基于特征赋权的K近邻算法需要解决的重要问题之一,传统上提出了许多启发式的学习方法。
应用推荐