A note on dual approximation algorithms for class constrained bin packing problems
Eduardo C. Xavier; Flàvio Keidi Miyazawa
RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications (2009)
- Volume: 43, Issue: 2, page 239-248
- ISSN: 0988-3754
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topXavier, Eduardo C., and Miyazawa, Flàvio Keidi. "A note on dual approximation algorithms for class constrained bin packing problems." RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications 43.2 (2009): 239-248. <http://eudml.org/doc/245985>.
@article{Xavier2009,
abstract = {In this paper we present a dual approximation scheme for the class constrained shelf bin packing problem. In this problem, we are given bins of capacity $1$, and $n$ items of $Q$ different classes, each item $e$ with class $c_e$ and size $s_e$. The problem is to pack the items into bins, such that two items of different classes packed in a same bin must be in different shelves. Items in a same shelf are packed consecutively. Moreover, items in consecutive shelves must be separated by shelf divisors of size $d$. In a shelf bin packing problem, we have to obtain a shelf packing such that the total size of items and shelf divisors in any bin is at most 1. A dual approximation scheme must obtain a shelf packing of all items into $N$ bins, such that, the total size of all items and shelf divisors packed in any bin is at most $1+\{\varepsilon \}$ for a given $\{\varepsilon \}>0$ and $N$ is the number of bins used in an optimum shelf bin packing problem. Shelf divisors are used to avoid contact between items of different classes and can hold a set of items until a maximum given weight. We also present a dual approximation scheme for the class constrained bin packing problem. In this problem, there is no use of shelf divisors, but each bin uses at most $C$ different classes.},
author = {Xavier, Eduardo C., Miyazawa, Flàvio Keidi},
journal = {RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications},
keywords = {bin packing; approximation algorithms},
language = {eng},
number = {2},
pages = {239-248},
publisher = {EDP-Sciences},
title = {A note on dual approximation algorithms for class constrained bin packing problems},
url = {http://eudml.org/doc/245985},
volume = {43},
year = {2009},
}
TY - JOUR
AU - Xavier, Eduardo C.
AU - Miyazawa, Flàvio Keidi
TI - A note on dual approximation algorithms for class constrained bin packing problems
JO - RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications
PY - 2009
PB - EDP-Sciences
VL - 43
IS - 2
SP - 239
EP - 248
AB - In this paper we present a dual approximation scheme for the class constrained shelf bin packing problem. In this problem, we are given bins of capacity $1$, and $n$ items of $Q$ different classes, each item $e$ with class $c_e$ and size $s_e$. The problem is to pack the items into bins, such that two items of different classes packed in a same bin must be in different shelves. Items in a same shelf are packed consecutively. Moreover, items in consecutive shelves must be separated by shelf divisors of size $d$. In a shelf bin packing problem, we have to obtain a shelf packing such that the total size of items and shelf divisors in any bin is at most 1. A dual approximation scheme must obtain a shelf packing of all items into $N$ bins, such that, the total size of all items and shelf divisors packed in any bin is at most $1+{\varepsilon }$ for a given ${\varepsilon }>0$ and $N$ is the number of bins used in an optimum shelf bin packing problem. Shelf divisors are used to avoid contact between items of different classes and can hold a set of items until a maximum given weight. We also present a dual approximation scheme for the class constrained bin packing problem. In this problem, there is no use of shelf divisors, but each bin uses at most $C$ different classes.
LA - eng
KW - bin packing; approximation algorithms
UR - http://eudml.org/doc/245985
ER -
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