Title
A Parallel Hybrid Metaheuristic For Bicluster Editing
Abstract
The bicluster editing problem (BEP) consists of editing (adding or removing) the edges of a bipartite graph G in order to transform it into a vertex-disjoint union of complete bipartite subgraphs, in such a way that the sum of the weights of the edited edges is minimum. In this paper, we propose five parallel strategies for the implementation of a hybrid metaheuristic for the BEP, consisting of a GRASP with VNS as local search. Computational experiments show near-linear speedups on Linux cluster with 64 processors and better solutions than those of the sequential approach.
Year
DOI
Venue
2016
10.1111/itor.12215
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
Keywords
Field
DocType
bicluster editing problem, metaheuristics, GRASP, parallelization, parallel GRASP
Mathematical optimization,GRASP,Computer science,Bipartite graph,Theoretical computer science,Local search (optimization),Computer cluster,Metaheuristic
Journal
Volume
Issue
ISSN
23
3
0969-6016
Citations 
PageRank 
References 
2
0.36
16
Authors
5