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New data-dependent dual-feasible functions and lower bounds for a two-dimensional bin-packing proble...

New data-dependent dual-feasible functions and lower bounds for a two-dimensional bin-packing proble...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_04816866v1

New data-dependent dual-feasible functions and lower bounds for a two-dimensional bin-packing problem

About this item

Full title

New data-dependent dual-feasible functions and lower bounds for a two-dimensional bin-packing problem

Publisher

London: Taylor & Francis Group

Journal title

International journal of production research, 2009-01, Vol.47 (2), p.537-560

Language

English

Formats

Publication information

Publisher

London: Taylor & Francis Group

More information

Scope and Contents

Contents

The bin-packing problem consists of determining the minimum number of bins needed to pack a given set of n items. It has been shown that the dual-feasible functions (DFF) proposed by Johnson and the data-dependent DFF (DDFF) proposed by the present authors can be used to obtain good lower bounds for bin-packing problems. In a recent paper we propos...

Alternative Titles

Full title

New data-dependent dual-feasible functions and lower bounds for a two-dimensional bin-packing problem

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_hal_primary_oai_HAL_hal_04816866v1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_04816866v1

Other Identifiers

ISSN

0020-7543

E-ISSN

1366-588X

DOI

10.1080/00207540802426656

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