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Researchers addressed the problem by grouping assignments into bundles for bidding [ 14, 24– 27] creating the multi-assignment problem, where each agent bids for multiple tasks.
The CBAA was extended to the multi-assignment problem developing the CBBA [ 11], which gives a conflict-free solution with a guaranteed 50%% optimality.
This paper presented an extension of the CBBA that solves the multi-agent multi-task assignment problem with group- and equipment-based dependencies.
The categorization of a question into multiple topics (a.k.a. multi-topic assignment) is a multi-label classification problem, a complex task where each item (question) can be associated with one or more labels (topics).
Furthermore, the mathematical models of the equilibrium multi-job assignment problem and the equilibrium multi-job quadratic assignment problem with fuzzy parameters are formulated.
Before claiming for multi-functionality, it is mandatory to check if such a multi-assignment holds when the initial modular structure changes.
Thus, the CBBA gives a conflict-free solution with a guaranteed 50%% optimality to the multi-assignment problem.
The multi-assignment will decrease the values of CTRVs, which may cause the true cross-talk candidates to be neglected.
Table 7 shows the total numbers of correctly assigned, wrongly assigned, and missing topics for the original NetWellness' and our multi-topic assignment methods against the reference standard.
The consequent problem we are faced with is a multi-dimensional assignment problem, which is known to be NP-hard.
A heavy resource (in this case a van) may carry both delivery items and one or more units of the lighter resource (foot couriers) on its single- or multi-route assignment.
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CEO of Professional Science Editing for Scientists @ prosciediting.com