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.
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Kolasa, T., Król, D. (2010). ACO-GA Approach to Paper-Reviewer Assignment Problem in CMS. In: Jędrzejowicz, P., Nguyen, N.T., Howlet, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2010. Lecture Notes in Computer Science(), vol 6071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13541-5_37
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DOI: https://doi.org/10.1007/978-3-642-13541-5_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13540-8
Online ISBN: 978-3-642-13541-5
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