贪心算法Rollout算法Diagnostic strategy is to have a certain order of test sequence. Diagnosis strategy aims to generate fault isolation, and to minimize testing costs. This paper introduces the test sequence generated by comparing the various algorithms and an algorithm on diagnostic strategies discussed...
Friedman JH (2001) Greedy function approximation: a gradient boosting machine. Ann Stat 29:1189–1232. https://doi.org/10.1214/aos/1013203451 Article Google Scholar Van Calster B, Wynants L, Verbeek JFM, Verbakel JY, Christodoulou E et al (2018) Reporting and interpreting decision curve analys...
The formulation of Facility Layout Problems (FLPs) as Quadratic Assignment Problems (QAPs) has gained substantial attention from researchers. The main reas... PC See,KY Wong - 《International Journal of Industrial & Systems Engineering》 被引量: 18发表: 2008年 A semi-greedy metaheuristic for th...
In view of different combinations of vehicle capacity (limited or unlimited) and shipping frequency (limited or unlimited) in many-one distribution network in the modern distribution logistics system, the GRASP (greedy randomized adaptive search procedure) is applied to solve respectively the inventory ...
2.1. Fuzzy Decision Tree Algorithm At present, there are many algorithms based on decision tree learning, but the core algorithm still adopts a top-down approach, that is, using a greedy algorithm to search the entire decision tree space. The most successful algorithm using this algorithm idea ...
and selection. The mutation operation generates experimental individuals by combining the target individual with the difference vector, the crossover operation provides diversity in the exploration solution space, and the selection operation is based on the greedy criterion to determine whether to adopt ne...
Combined with the Nash equilibrium computation, we give the following procedures of the genetic algorithm as well as a pseudo-code. Step 1: Initialization. Generate a fixed amount of feasible chromosomes to form a population. Step 2: Crossover. Randomly choose chromosomes to cross and keep feasib...
A greedy strategy was designed to figure it out. Compared with fast sorting technique and improving fast sorting technique, the algorithmic complexity of PGCST is independent of system size and it has higher algorithm efficiency. When applied into power system risk assessment, case study in RBTS ...
To predict performance parameters depending on the variables of engine itself, machine learning approach is one of the best ways to present effective solutions thanks to comprehensive algorithm options. In this study, several parameters such as thrust, exergy efficiency, thermal efficiency and ...
the first part mainly analyzes the problems to be solved and the overall process of terminal intelligent rearrangement; the second part will introduce the terminal intelligent rearrangement. The exploration and practice process of the sorting algorithm part; the third part will introduce the architecture...