Team formation based on group technology: A hybrid grouping genetic algorithm approach

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• 作者：Luis E. Agustí ; n-Blas ; Sancho Salcedo-Sanz ; Emilio G. Ortiz-Garcí ; a ; Antonio Portilla-Figueras ; Á ; ngel M. Pé ; rez-Bellido ; Silvia Jimé ; nez-Ferná ; ndez
• 关键词：Team formation ; Group technology ; Grouping genetic algorithms ; Hybrid algorithms
• 刊名：Computers and Operations Research
• 出版年：2011
• 出版时间：February 2011
• 年：2011
• 卷：38
• 期：2
• 页码：484-495
• 全文大小：1160 K

文摘

This paper presents a new model for team formation based on group technology (TFPGT). Specifically, the model is applied as a generalization of the well-known Machine-Part Cell Formation problem, which has become a classical problem in manufacturing in the last few years. In this case, the model presented is especially well-suited for problems of team formation arising in R&D-oriented or teaching institutions. A parallel hybrid grouping genetic algorithm (HGGA) is also proposed in the paper to solve the TFPGT. The performance of the algorithm is shown in several synthetic TFPGT instances, and in a real problem: the formation of teaching groups at the Department of Signal Theory and Communications of the Universidad de Alcalá in Spain.