Title
A stabilized branch-and-price-and-cut algorithm for the multiple length cutting stock problem
Abstract
Many heuristic approaches have been proposed in the literature for the multiple length cutting stock problem, while only few results have been reported for exact solution algorithms. In this paper, we present a new branch-and-price-and-cut algorithm which outperforms other exact approaches proposed so far. Our conclusions are supported on many computational experiments conducted on instances from the literature. In the second part of the paper, we investigate the use of valid dual inequalities within the previous algorithm. We show how column generation can be accelerated in all the nodes of our branching tree using such inequalities. Until now, dual inequalities have been applied only for original linear programming relaxations. Their validity within a branch-and-bound procedure has never been investigated. Our computational experiments show that extending these inequalities to the whole branch-and-bound tree can significantly improve the convergence of our branch-and-price-and-cut algorithm.
Year
DOI
Venue
2008
10.1016/j.cor.2006.08.014
Computers & OR
Keywords
DocType
Volume
whole branch-and-bound tree,exact solution algorithm,branch-and-price-and-cut algorithm,stock problem,multiple length,exact approach,dual inequality,branch-and-bound procedure,valid dual inequality,previous algorithm,computational experiment,new branch-and-price-and-cut algorithm
Journal
35
Issue
ISSN
Citations 
4
Computers and Operations Research
27
PageRank 
References 
Authors
1.24
15
2
Name
Order
Citations
PageRank
Cláudio Alves118416.29
J. M. Valério de Carvalho2654.53