Titlebook: Algorithmic Aspects in Information and Management; 16th International C Qiufen Ni,Weili Wu Conference proceedings 2022 The Editor(s) (if ap

VIRAL

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书目名称Algorithmic Aspects in Information and Management网络公开度学科排名




书目名称Algorithmic Aspects in Information and Management被引频次




书目名称Algorithmic Aspects in Information and Management被引频次学科排名




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书目名称Algorithmic Aspects in Information and Management读者反馈学科排名

UNT

An Approximation Algorithm for the Clustered Path Travelling Salesman Problemg the triangle inequality. In addition, the vertex set . is partitioned into clusters .. The objective of the problem is to find a minimum Hamiltonian path in ., and in the path all vertices of each cluster are visited consecutively. We provide a polynomial-time approximation algorithm for the probl

FEIGN

cunning

儿童

ingrate

The Optimal Dynamic Rationing Policy in the Stock-Rationing Queueic solution for the optimal dynamic rationing policy. To do this, we establish a policy-based birth-death process to show that the optimal dynamic rationing policy must be of transformational threshold type. Based on this finding, we can refine three sufficient conditions under each of which the opt

犬儒主义者

Embolic-Stroke

Obnoxious Facility Location Games with Candidate Locationsive, we present a group strategy-proof mechanism with approximation ratio of 3. Then we prove the ratio is tight by giving a corresponding lower bound instance. This is also proved to be the best possible mechanism. For obnoxious two-facility location games with facility candidate locations, we stud

chandel

Streaming Adaptive Submodular Maximizationield focus on pool-based setting, where one can pick items in any order, and there have been few studies for the stream-based setting where items arrive in an arbitrary order and one must immediately decide whether to select an item or not upon its arrival. In this paper, we introduce a new class of

Watemelon

Constrained Stochastic Submodular Maximization with State-Dependent Costsems whose states (i.e., the marginal contribution and the cost of an item) are drawn from a known probability distribution. The only way to know the realized state of an item is to select that item. We consider two constraints, i.e., . and . constraints. Recall that each item has a state-dependent c