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Keywords
(8)
Assignment Problem
Distributed Control
Global Computing
Linear Approximation
Local Community
Networked Systems
Linear Assignment Problem
Linear Program
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A distributed auction algorithm for the assignment problem
A distributed auction algorithm for the assignment problem,10.1109/CDC.2008.4739098,Michael M. Zavlanos,Leonid Spesivtsev,George J. Pappas
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A distributed auction algorithm for the assignment problem
(
Citations: 8
)
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Michael M. Zavlanos
,
Leonid Spesivtsev
,
George J. Pappas
The
assignment problem
constitutes one of the fundamental problems in the context of linear programming. Besides its theoretical significance, its frequent appearance in the areas of
distributed control
and facility allocation, where the problems' size and the cost for global computation and information can be highly prohibitive, gives rise to the need for local solutions that dynamically assign distinct agents to distinct tasks, while maximizing the total assignment benefit. In this paper, we consider the
linear assignment problem
in the context of networked systems, where the main challenge is dealing with the lack of global information due to the limited communication capabilities of the agents. We address this challenge by means of a distributed auction algorithm, where the agents are able to bid for the task to which they wish to be assigned. The desired assignment relies on an appropriate selection of bids that determine the prices of the tasks and render them more or less attractive for the agents to bid for. Up to date pricing information, necessary for accurate bidding, can be obtained in a multihop fashion by means of local communication between adjacent agents. Our algorithm is an extension to the parallel auction algorithm proposed by Bertsekas et al to the case where only local information is available and it is shown to always converge to an assignment that maximizes the total assignment benefit within a
linear approximation
of the optimal one.
Conference:
Conference on Decision and Control  CDC
, pp. 12121217, 2008
DOI:
10.1109/CDC.2008.4739098
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Citation Context
(4)
...Recently, [
8
], [9] have combined the auction algorithm with consensus algorithms in order to...
...Recently, consensus algorithms have been combined with the auction algorithm, so that the shared memory/centralized auctioneer can be removed for solving the linear assignment problem [
8
], [9]...
Lingzhi Luo
,
et al.
Multirobot assignment algorithm for tasks with set precedence constra...
...A multiagent system in which agents have limited communication capabilities achieves an optimal target assignment solution if the global information is up todate and at the disposal of all decision makers (agents) at least in a multihop fashion; sufficient condition for optimal solution is that the communication graph among agents is connected [
20
,16]...
...These as well as many other parallel and distributed algorithms for solving the assignment problem, e.g., [3,5,8,17,
20
], all assume the complete interagent communication graph, the latter with possibly substantial but bounded delays was a subject of [3,8,20]...
...These as well as many other parallel and distributed algorithms for solving the assignment problem, e.g., [3,5,8,17,20], all assume the complete interagent communication graph, the latter with possibly substantial but bounded delays was a subject of [3,8,
20
]...
Marin Lujak
,
et al.
On the Communication Range in AuctionBased MultiAgent Target Assignm...
...To solve the targetassignment problem in a distributed way, we adapt the algorithm in [
15
], and for the exploration of the environment we use the QLearning algorithm introduced in [12]...
...More recently, a distributed version was proposed in [
15
], with the requirement that the network of agents be jointly connected sufficiently often over time...
...In [
6
], the distributed sequential augmenting path algorithm is employed to solve assignment problems...
...As opposed to the algorithm given in [
15
], the JOLEAS algorithm do not require agents to have a priori information about the assignment benefits associated with given targets; moreover, these benefits may change with time...
...Our exposition on the auction algorithm follows [4] and [
15
]...
...More precisely, in the distributed auction algorithm [
15
], suppose agent i believes that matching with object j has the price pij(t)...
...Remark 1: The main difference between the auction algorithm part in the description above (Steps 2429) and the distributed auction algorithm presented in [
15
] is the following...
...All in all, our algorithm extends the distributed auction algorithm presented in [
15
] in that we make it robust to agent failure, and capable of dealing with unknown environments...
...The algorithm was designed as an integration of the QLearning algorithm and the distributed auction algorithm presented in [
15
]...
Teymur Sadikhov
,
et al.
A distributed jointlearning and auction algorithm for target assignme...
...This is not valid in distributed memory situations where processors share information with each other following a particular network topology [
7
]...
...Other attempts to implement the auction on a parallel system include [8], [9], [
7
], [10], [11]...
Amgad Naiem
,
et al.
A centrally coordinated parallel auction algorithm for large scale ass...
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