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A Parallel Iterative Improvement Stable Matching Algorithm
Lu, Enyue ; Zheng, S. Q.
High Performance Computing - HiPC 2003, 2003, p.55-65
[Periódico revisado por pares]
Berlin, Heidelberg: Springer Berlin Heidelberg
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Título:
A Parallel Iterative Improvement Stable Matching Algorithm
Autor:
Lu, Enyue
;
Zheng, S. Q.
Assuntos:
Applied sciences
;
Artificial intelligence
;
Computer science
;
control theory
;
systems
;
Exact sciences and technology
;
Initiation Phase
;
Parallel Algorithm
;
Pattern recognition. Digital image processing. Computational geometry
;
Ranking List
;
Ranking Matrix
;
Software
;
Speech and sound recognition and synthesis. Linguistics
;
Stable Match
É parte de:
High Performance Computing - HiPC 2003, 2003, p.55-65
Descrição:
In this paper, we propose a new approach, parallel iterative improvement (PII), to solving the stable matching problem. This approach treats the stable matching problem as an optimization problem with all possible matchings forming its solution space. Since a stable matching always exists for any stable matching problem instance, finding a stable matching is equivalent to finding a matching with the minimum number (which is always zero) of unstable pairs. A particular PII algorithm is presented to show the effectiveness of this approach by constructing a new matching from an existing matching and using techniques such as randomization and greedy selection to speedup the convergence process. Simulation results show that the PII algorithm has better average performance compared with the classical stable matching algorithms and converges in n iterations with high probability. The proposed algorithm is also useful for some real-time applications with stringent time constraint.
Editor:
Berlin, Heidelberg: Springer Berlin Heidelberg
Idioma:
Inglês
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