This paper investigates the complexity of the min-max and min-max regret assignment problems both in the discrete scenario and interval data cases. We show that these problems are strongly NP-hard for an unbounded number of scenarios. We also show that the interval data min-max regret assignment pro
✦ LIBER ✦
Approximation and resolution of min–max and min–max regret versions of combinatorial optimization problems
✍ Scribed by Hassene Aissi
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 67 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1619-4500
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