Abstract
Conference management that requires proper coordination and international communication, is a complex task. There are many Conference Management Systems (CMS), which can be used to carry out the conference. A convenient to use, free and effective module for automatic paper-reviewer assignment is still not available. Searching for the best assignments relying only on common paper-reviewer topics not always will give good solutions. This paper proposes an approach, that uses the reviewers responses information, to tune the solution up. Proposed algorithm combines genetic algorithm (GA) and ant colony optimization (ACO), to quickly find good solutions. The experiment results confirm the superiority of proposed algorithm. © 2010 Springer-Verlag.
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CITATION STYLE
Kolasa, T., & Król, D. (2010). ACO-GA approach to paper-reviewer assignment problem in CMS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6071 LNAI, pp. 360–369). https://doi.org/10.1007/978-3-642-13541-5_37
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