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Titlebook: Combinatorial Optimization and Applications; 16th International C Weili Wu,Jianxiong Guo Conference proceedings 2024 The Editor(s) (if appl

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樓主: Nutraceutical
11#
發(fā)表于 2025-3-23 09:42:36 | 只看該作者
An Energy-Efficient Scheduling Method for?Real-Time Multi-workflow in?Container Cloudmption of cloud service platforms while ensuring the quality of service has become a crucial issue. In this paper, we propose a heuristic energy-saving scheduling algorithm named Real-time Multi-workflow Energy-efficient Scheduling (RMES) with the aim to minimize the total energy consumption in cont
12#
發(fā)表于 2025-3-23 17:47:03 | 只看該作者
13#
發(fā)表于 2025-3-23 20:18:18 | 只看該作者
The MaxIS-Shapley Value in?Perfect Graphshs. The MaxIS problem in perfect graphs can be computed in polynomial time. Many well-studied families of graphs are perfect, for example, bipartite graphs, chordal graphs, forests, etc. The Shapley value is a widely known numerical measure for assessing the contribution of individuals. We study thi
14#
發(fā)表于 2025-3-23 23:30:42 | 只看該作者
Asteroidal Sets and?Dominating Pathsf the third. Asteroidal triple-free (AT-free) graphs are very well-studied, but some of their various superclasses are not. We study two of these superclasses: hereditary dominating pair (HDP) graphs and diametral path graphs. We correct a mistake that has appeared in the literature claiming that th
15#
發(fā)表于 2025-3-24 03:02:04 | 只看該作者
16#
發(fā)表于 2025-3-24 09:59:54 | 只看該作者
17#
發(fā)表于 2025-3-24 12:07:02 | 只看該作者
Jean Dubreuil,Guillaume Bouffardtheorems of constrained set-valued optimization problems are obtained. Some examples are given to illustrate our results. The results obtained in this paper improve and generalize some known results in the literatures.
18#
發(fā)表于 2025-3-24 18:03:05 | 只看該作者
19#
發(fā)表于 2025-3-24 19:19:54 | 只看該作者
20#
發(fā)表于 2025-3-25 02:00:46 | 只看該作者
Rebecca Young,Luke Mather,Elisabeth Oswaldhile in second version we can decide these moments. We show several NP-hardness results as well as a dynamic-programming polynomial time algorithm (for the scenario in which the starting times are given). Then we describe an approximation algorithm with a factor 1/. that has running time exponential in ./., with ..
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