Results 41 to 50 of about 9,788 (160)
Risk-Aware Submodular Optimization for Multirobot Coordination
contains WAFR 2018 submission arXiv:1807 ...
Lifeng Zhou, Pratap Tokekar
openaire +2 more sources
Multiuser computation offloading for edge-cloud collaboration using submodular optimization
A computation offloading scheme based on edge-cloud computing was proposed to improve the system utility of multiuser computation offloading.This scheme improved the system utility while considering the optimization of edge-cloud resources.In order to ...
Bing LIANG, Wen JI
doaj +2 more sources
Multi-Type Sensor Placements in Gaussian Spatial Fields for Environmental Monitoring
As citizens are increasingly concerned about the surrounding environment, it is important for modern cities to provide sufficient and accurate environmental information to the public for decision making in the era of smart cities.
Chenxi Sun +3 more
doaj +1 more source
Randomization-Embedded Greed: Pursuing More Platform Profits in Mobile Crowd Sensing
The recent proliferation of sensor-equipped mobile phones, together with the intrinsic mobility of their users, has enabled mobile crowdsensing (MCS) to spring up. In a typical MCS system, the MCS platform recruits mobile phone users (workers) to perform
Guodong Sun +3 more
doaj +1 more source
Optimal Region Search with Submodular Maximization [PDF]
Region search is an important problem in location-based services due to its wide applications. In this paper, we study the problem of optimal region search with submodular maximization (ORS-SM). This problem considers a region as a connected subgraph.
Chen, Xuefeng +4 more
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ABSTRACT This paper examines the impacts of Volume‐Based Procurement (VBP) policies on pharmaceutical supply chains, with a focus on the strategic behaviors of manufacturers. VBP aims to reduce costs and stabilize supplies by centralizing procurement through competition based on volumes and prices.
Nani Zhou, Tong Wang, Guohua Wan
wiley +1 more source
Weakly Submodular Functions [PDF]
Submodular functions are well-studied in combinatorial optimization, game theory and economics. The natural diminishing returns property makes them suitable for many applications. We study an extension of monotone submodular functions, which we call {\em
Borodin, Allan +2 more
core
Multi-Agent Submodular Optimization
Recent years have seen many algorithmic advances in the area of submodular optimization: (SO) $\min/\max~f(S): S \in \mathcal{F}$, where $\mathcal{F}$ is a given family of feasible sets over a ground set $V$ and $f:2^V \rightarrow \mathbb{R}$ is submodular. This progress has been coupled with a wealth of new applications for these models.
Santiago, Richard, Shepherd, F. Bruce
openaire +4 more sources
Submodlib: A Submodular Optimization Library
23 pages with references, 10 figures, 5 ...
Kaushal, Vishal +2 more
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ABSTRACT We are concerned with the stability of a transferable‐utility cooperative (TU) game. First, the concept of core can be weakened so that the blocking of changes is limited to only those with multilateral backings. This principle of consensual blocking, as well as the traditional core‐defining one of unilateral blocking and one straddling in ...
Jian Yang
wiley +1 more source

