ACO-GA Approach to Paper-Reviewer Assignment Problem in CMS

被引:0
|
作者
Kolasa, Tomasz [1 ]
Krol, Dariusz [2 ]
机构
[1] Wroclaw Univ Technol, Fac Comp Sci & Management, PL-50370 Wroclaw, Poland
[2] Wroclaw Univ Technol, Inst Informat, Wroclaw, Poland
关键词
OPTIMIZATION; ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 riot 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.
引用
收藏
页码:360 / +
页数:2
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