%0 Journal Article
%T A Survey of Algorithms for Paper-reviewer Assignment Problem
%A Kolasa Tomasz
%A Krol Dariusz
%J IETE Technical Review
%D 2011
%I 
%X This paper analyzes some details of artificial in-telligence algorithms to paper-reviewer assignment problem. In particular, the study on most common algorithms like genetic algorithm (GA), ant colony optimization (ACO) and tabu-search (TS) is made and the performance of these algorithms in paper-reviewer assignment problem is tested. Moreover, two hybrid methods that efficiently combine the above-mentioned algorithms are proposed: the ACO-GA and GA-TS algorithms. To measure the performance of these algorithms, extensive computational experiments are conducted. Evaluation using different data sets shows that the proposed algorithms are effective and achieve good results.
%K Ant colony optimization
%K Genetic algorithm
%K Hybrid ap-proach
%K Paper-reviewer assignment problem
%K Tabu-search
%U http://tr.ietejournals.org/article.asp?issn=0256-4602;year=2011;volume=28;issue=2;spage=123;epage=134;aulast=Kolasa