|
|
|
|
|
Amir Barghi and Daryl DeFord
The Stirling numbers for graphs provide a combinatorial interpretation of the number of cycle covers in a given graph. The problem of generating all cycle covers or enumerating these quantities on general graphs is computationally intractable, but recent...
ver más
|
|
|
|
|
|
|
|
|
Xinyi Yang, Ziyi Wang, Hengxi Zhang, Nan Ma, Ning Yang, Hualin Liu, Haifeng Zhang and Lei Yang
Combinatorial optimization problems (COPs) are a class of NP-hard problems with great practical significance. Traditional approaches for COPs suffer from high computational time and reliance on expert knowledge, and machine learning (ML) methods, as powe...
ver más
|
|
|
|
|
|
|
|
|
Zari Farhadi, Hossein Bevrani, Mohammad-Reza Feizi-Derakhshi, Wonjoon Kim and Muhammad Fazal Ijaz
Nowadays, in the topics related to prediction, in addition to increasing the accuracy of existing algorithms, the reduction of computational time is a challenging issue that has attracted much attention. Since the existing methods may not have enough eff...
ver más
|
|
|
|
|
|
|
|
|
Anna Karen Gárate-Escamilla, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín and José Carlos Ortiz-Bayliss
Hyper-heuristics have arisen as methods that increase the generality of existing solvers. They have proven helpful for dealing with complex problems, particularly those related to combinatorial optimization. Their recent growth in popularity has increase...
ver más
|
|
|
|
|
|
|
|
|
Chia-Hui Huang, Bak-Sau Yip, David Taniar, Chi-Shin Hwang and Tun-Wen Pai
Electronic Medical Records (EMRs) can be used to create alerts for clinicians to identify patients at risk and to provide useful information for clinical decision-making support. In this study, we proposed a novel approach for predicting Amyotrophic Late...
ver más
|
|
|
|