Results 21 to 30 of about 6,713,634 (328)
The methods of task pre‐allocation and reallocation for multi‐UAV cooperative reconnaissance mission
IET Collaborative Intelligent Manufacturing, 2023 Nowadays, multi unmanned aerial vehicle (multi‐UAV) systems have been widely used in battlefield. The rationality of mission plan can directly affect the effectiveness of multi‐UAV system. The existing multi‐UAV task allocation model lack a comprehensive
Gang Wang +3 more
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On the complexity of task allocation [PDF]
Complexity, 1997 A detailed study is presented on the combinatorial optimization problem of allocating parallel tasks to a parallel computer. Depending on two application/machine-specific parameters, both a sequential and a parallel optimal allocation phase are shown to exist. A sudden “phase” transition is observed if one of these parameters is varied.
Schoneveld, A. +2 more
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A UAV-Assisted Multi-Task Allocation Method for Mobile Crowd Sensing
IEEE Transactions on Mobile Computing, 2023 Mobile crowd sensing (MCS) with human participants has been proposed as an efficient way of collecting data for smart cities applications. However, there often exist situations where humans are not able or reluctant to reach the target areas, due to for ...
Hui Gao +4 more
semanticscholar +1 more source
Fair Task Allocation When Cost of Task Is Multidimensional
Applied Sciences, 2020 We consider the problem of fairly allocating indivisible tasks, focusing on a recently introduced notion of fairness called Minmax share guarantee. Minmax share (MMS) is a term of fairness guarantees that is defined to be the minimum cost that an agent ...
Fengjie Sun, Xianchang Wang, Rui Zhang
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Research on Fuzzy Decision-Making Method of Task Allocation for Ship Multiagent Collaborative Design
Advances in Mathematical Physics, 2022 Since task allocation is one of the core tasks of ship design, the choice of its allocation strategy is a key factor that affects whether the task and the design agent can be beneficially matched. Different from the traditional one-way assignment mode of
Jinghua Li +4 more
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Task Allocation Towards Individual Task Quality Assurance in Mobile Crowd Sensing [PDF]
Jisuanji gongcheng, 2022 In Mobile Crowd Sensing(MCS), most existing task allocation methods focus on the overall sensing quality of the platform and do not fully consider task competition for workers, budgets and other resources.This cannot effectively guarantee the sensing ...
YANG Guisong, WU Xiaotian, GAO Li, HE Xingyu
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Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks With Edge and Fog Computing for Post-Disaster Rescue [PDF]
IEEE Transactions on Mobile Computing, 2023 Unmanned aerial vehicles (UAVs) are playing an increasingly important role in assisting fast-response post-disaster rescue due to their fast deployment, flexible mobility, and low cost.
Geng Sun +6 more
semanticscholar +1 more source
Allocating tasks in extreme teams [PDF]
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, 2005 Extreme teams, large-scale agent teams operating in dynamic environments, are on the horizon. Such environments are problematic for current task allocation algorithms due to the lack of locality in agent interactions. We propose a novel distributed task allocation algorithm for extreme teams, called LA-DCOP, that incorporates three key ideas. First, LA-
P. Scerri +3 more
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Towards Efficient and Privacy-Preserving Versatile Task Allocation for Internet of Vehicles
IEEE Open Journal of the Computer Society, 2022 Nowadays, task allocation has attracted increasing attention in the Internet of Vehicles. To efficiently allocate tasks to suitable workers, users usually need to publish their task interests to the service provider, which brings a serious threat to ...
Zihan Li +5 more
doaj +1 more source
Imitation learning for task allocation [PDF]
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010 At the heart of multi-robot task allocation lies the ability to compare multiple options in order to select the best. In some domains this utility evaluation is not straightforward, for example due to complex and unmodeled underlying dynamics or an adversary in the environment. Explicitly modeling these extrinsic influences well enough so that they can
Felix Duvallet, Anthony Stentz
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