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

Forage飼料

Minutes

兒童

PHAG

deadlock

https://doi.org/10.1007/978-3-031-25319-5ending our polynomial-time approach to deal with . on graphs having bounded dominating sets, we obtain a .-time algorithm to solved . on .-free graphs, improving the current .-time state of the art due to Bonamy, Dabrowski, Feghali, Johnson, and Paulusma [Algorithmica, 2019].

GILD

https://doi.org/10.1007/978-3-031-25319-5M-Tree Sets of density graphs is NP-Complete. We additionally prove three additional variations of the problem - such as the minimum M-Tree Set such that the intersection between any two monotone trees is either empty or contractible (SM-Tree Set) - are also NP-Complete. We conclude by providing som

陪審團

Sana Boussam,Ninon Calleja Albillos a path. For the second objective, we derive an .-time algorithm for the uniform multi-depot DMSTC on a path, where . is the number of depots. For the non-uniform multi-depot DMSTC on a path or cycle, we give a 2-approximation algorithm.

使激動

Lukas Zaoral,Antonin Dufka,Petr Svendaades. In this paper, we first provide a semi-online algorithm GRD and show that GRD is optimal for scheduling packets on arborescence and/or anti-arborescence forests. We then provide a parameterized algorithm PDP which finds an optimal makespan for the general case. PDP is a dynamic programming alg

Prognosis

https://doi.org/10.1007/978-3-031-54409-5ct structural properties by considering a geometrical representation of a CLP’s primal-dual pair. We combine the CLP schedule with a greedy schedule to obtain a .-approximation for this setting. This improves upon the so far best-known approximation factor of 2.

Extemporize

Sana Boussam,Ninon Calleja Albillosheduling mechanism, which can automatically adjust the scheduling decisions of the tasks that have not yet been executed in the scheduling scheme. The experimental results show that RMES has obvious advantages over other scheduling algorithms in terms of energy consumption and success ratio.