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Innovative Design and Analysis of Production Systems by Multi-objective Optimization and Data Mining
2016
Procedia CIRP
This paper presents an innovative approach for the design and analysis of production systems using multi-objective optimization and data mining. The innovation lies on how these two methods using different computational intelligence algorithms can be synergistically integrated and used interactively by production systems designers to support their design decisions. Unlike ordinary optimization approaches for production systems design which several design objectives are linearly combined into a
doi:10.1016/j.procir.2016.04.159
fatcat:czoe67cv4raappplelyjyxtgrq