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.
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