The use of hybrid artificial intelligence systems in operations management has grown during the last years given their ability to tackle combinatorial and NP hard problems. Furthermore, operations management problems usually involve imprecision, uncertainty, vagueness, and high-dimensionality. This paper examines recent developments in the field of hybrid artificial intelligence systems for those operations management problems where hybrid approaches are more representative: design engineering, process planning, assembly line balancing, and dynamic scheduling. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Ibáñez, O., Cordón, O., Damas, S., & Magdalena, L. (2009). A review on the application of hybrid artificial intelligence systems to optimization problems in operations management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5572 LNAI, pp. 360–367). https://doi.org/10.1007/978-3-642-02319-4_43
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