ACO-GA approach to paper-reviewer assignment problem in CMS

  • Authors:
  • Tomasz Kolasa;Dariusz Król

  • Affiliations:
  • Faculty of Computer Science and Management, Wrocław University of Technology, Poland;Institute of Informatics, Wrocław University of Technology, Poland

  • Venue:
  • KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
  • Year:
  • 2010

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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.