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Use of data envelopment analysis and clustering in multiple criteria optimization.

, , , , and . Intell. Data Anal., 12 (1): 89-101 (2008)

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Use of data envelopment analysis and clustering in multiple criteria optimization., , , , and . Intell. Data Anal., 12 (1): 89-101 (2008)Case Study: A Comprehensive Integer Programming Model for Improving an Educational Timetable., , , and . Int. J. Comb. Optim. Probl. Informatics, 8 (3): 71-82 (2017)Time series: Empirical characterization and artificial neural network-based selection of forecasting techniques., , , and . Intell. Data Anal., 13 (6): 969-982 (2009)A multicriteria simulation optimization method for injection molding., , and . WSC, page 2395-2407. IEEE, (2011)An adaptive metamodeling-based method for simulation optimization., and . WSC, page 2379. WSC, (2007)A simulation-optimization strategy to deal simultaneously with tens of decision variables and multiple performance measures in manufacturing., , , and . J. Simulation, 12 (3): 258-270 (2018)Consistent detection of cancer biomarkers with linear models., , , , , and . BIBM Workshops, page 186-192. IEEE Computer Society, (2011)Identifying the Best Compromises between Multiple Performance Measures in Injection molding (im) using Data envelopment Analysis (DEA)., , , , and . Transactions of the SDPS, 7 (1): 77-86 (2003)Designing a Sustainable and Distributed Generation System for Semiconductor Wafer Fabs., , , and . IEEE Trans Autom. Sci. Eng., 10 (1): 16-26 (2013)A simulation-optimization strategy to deal simultaneously with tens of decision variables and multiple performance measures in manufacturing., , and . WSC, page 2295-2306. IEEE/ACM, (2015)