(Enter summary)
Abstract: In this report, parallelism is used as a way to solve discrete optimization problems. We
search for an optimal solution x
2 S
, where S
is the set of all best solutions in a domain
S, defined as the discrete set of all vectors x in the solution space that satisfy a set of
constraints. Improving the search efficiency is of considerable importance since exhaustive
search is often impracticable. The method called branch-and-bound (noted B&B) is a tree
search algorithm often used as an... (Update)
Context of citations to this paper: More
...offer efficient components. Moreover, parallelism seems to be an interesting option to resolve larger problems more quickly [3, 5, 12, 16, 24, 36]. However, when someone writes an efficient sequential Branch and Bound application, he rarely ports it on a parallel machine....
...on the number of iterations. However, this reduction can deviate considerably from CCS 95 53 linear due to possible speedup anomalies [3]. This kind of parallel branch and bound is considered as an irregular parallel algorithm due to the fact that the shape of the search...
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2: A Distributed Processing Algorithm For Solving Integer Programs Using a Cluster ..
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2: ACM Transactions on Programming Languages and Systems (context) - Finkel, Manber et al. - 1987
BibTeX entry: (Update)
Correa (R.) et Ferreira (A.). -- Parallel best-first branch-and-bound in discrete optimization : a framework. -- Rapport technique n 95--03, DIMACS, Rutgers University, Mars 1995. http://citeseer.ist.psu.edu/article/et95parallel.html More
@inproceedings{ correa96parallel,
author = "Ricardo C. Correa and Afonso Ferreira",
title = "Parallel best-first branch-and-bound in discrete optimization: a framework",
booktitle = "Solving Combinatorial Optimization Problems in Parallel",
pages = "171-200",
year = "1996",
url = "citeseer.ist.psu.edu/article/et95parallel.html" }
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