Abstract
In the field of vector (or multi objective) optimization there has been a relatively little interest in solving combinatorial or discrete problems. During the 70’s just a few papers have been published on multi objective (m.o.) integer linear programming. However no special emphasis was put on the important aspect of computational complexity. This can be certainly ascribed to the fact that the theory of NP—completeness was developing at a fast pace in those same years.
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Serafini, P. (1987). Some Considerations about Computational Complexity for Multi Objective Combinatorial Problems. In: Jahn, J., Krabs, W. (eds) Recent Advances and Historical Development of Vector Optimization. Lecture Notes in Economics and Mathematical Systems, vol 294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46618-2_15
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DOI: https://doi.org/10.1007/978-3-642-46618-2_15
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