Cargando…
Best Fit Bin Packing with Random Order Revisited
Best Fit is a well known online algorithm for the bin packing problem, where a collection of one-dimensional items has to be packed into a minimum number of unit-sized bins. In a seminal work, Kenyon [SODA 1996] introduced the (asymptotic) random order ratio as an alternative performance measure for...
Autores principales: | Albers, Susanne, Khan, Arindam, Ladewig, Leon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550633/ https://www.ncbi.nlm.nih.gov/pubmed/34776569 http://dx.doi.org/10.1007/s00453-021-00844-5 |
Ejemplares similares
-
Improved Online Algorithms for Knapsack and GAP in the Random Order Model
por: Albers, Susanne, et al.
Publicado: (2021) -
Avoiding biases in binned fits
por: Gligorov, V.V., et al.
Publicado: (2021) -
On the Impact of Fuzzy Constraints in the Variable Size and Cost Bin Packing Problem
por: Herrera-Franklin, Jorge, et al.
Publicado: (2020) -
Scheduling in the Random-Order Model
por: Albers, Susanne, et al.
Publicado: (2021) -
A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem
por: Silva-Gálvez, A., et al.
Publicado: (2020)