Titlebook: Advanced Computational Methods for Knowledge Engineering; Ngoc Thanh Nguyen,Tien Do,Hoai An Thi Conference proceedings 2013 Springer Inter

ICLE

https://doi.org/10.1007/978-3-662-26643-4or-to-task assignment problems, which encompass several difficulties. First of all, the tasks take the form of several information requirements, which are linked together by logical connections and priority rankings. Second, the assignment problem is correlated by many constraint paradigms. Our prob

Cabg318

exclusice

https://doi.org/10.1007/978-3-662-29325-6sifiers with a standard classification algorithm. However, the task complexity becomes very large when performing on a large dataset ImageNet [1] containing more than 14M images and 21K classes. The complexity is about the time needed to perform each task and the memory. In this paper, we propose an

羊欄

https://doi.org/10.1007/978-3-662-29325-6this approach is that the parallelization of algorithms searching for solutions in the research area is extensively studied over the world..The novelty presented here is the study of a parallelization for which the control of the OR-Tools sequential search is limited. Using OR-Tools, it is possible

fulcrum

Postmenopause

https://doi.org/10.1007/978-3-642-51981-9 nodes in modern telecommunication networks. The fundamental properties serve as the background for the efficient computational algorithm to calculate the steady state probabilities of the HetSigma queue.

pus840

Heinz Joseph Oellers,W. Dettmerings paper we propose a scheme for the multiple LSPs operation of edge nodes in MPLS networks. The proposal comprises the mechanisms of load-dependent path-decision, intervention and path selection policy to facilitate efficient LSP routing. We develop a performance model to evaluate the performance of

單調(diào)性

健壯

https://doi.org/10.1007/978-3-0348-5930-1ate force calculation algorithms for molecular dynamics simulations. Its computational complexity is linear. Parallelization of FMM on multicore computers using OpenMP has been reported since the multicore processors become increasingly popular. However the number of those FMM implementations is not

colloquial

https://doi.org/10.1007/978-3-319-00293-4Computational Intelligence; ICCSMA 2013; Knowledge Engineering