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The evidence that experts and highly active contributors form disjoint groups contributes to understand where the expertise is located in the site, and it has implications for task allocation mechanisms.
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Eight levels of automation (LOA) are initially defined in the function allocation and an ISD is drawn for each of the LOA for task allocation.
This section describes our solution approach for task allocation.
The seed-eating harvester ants, genus Pogonomyrmex, are the behavioral model for task allocation in ants [ 1, 10, 12, 22].
In contrast, policy-makers indicated that the central MOH was responsible for task allocation across the health system.
A genetic algorithm (GA) had been used for the task allocation, and A* algorithm was utilized for path planning.
This study aimed at developing some heuristic methods for the task allocation and collision-free path planning for three robots working in the common workspace.
This has paved the way for fairer task allocation among the stakeholders and set aside more resources to generate some progress.
In this section, the model for the task allocation problem in EH-WSNs is explained.
Marques et al. (2013) introduced an ontology for team task allocation in GSE projects.
Frank and Römer [10] propose an algorithm for generic task allocation in WSNs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com