B
Barry O'Sullivan
Researcher at University College Cork
Publications - 324
Citations - 3966
Barry O'Sullivan is an academic researcher from University College Cork. The author has contributed to research in topics: Constraint programming & Constraint satisfaction problem. The author has an hindex of 29, co-authored 312 publications receiving 3610 citations. Previous affiliations of Barry O'Sullivan include Brown University & National University of Ireland.
Papers
More filters
Proceedings ArticleDOI
Improving Navigation in Critique Graphs
Begum Genc,Barry O'Sullivan +1 more
TL;DR: It is shown how the critique graph can be modified in a minor way, thereby modifying the semantics of critiquing for a given catalogue, so that all products are always reachable.
Proceedings ArticleDOI
New Models for Two Variants of Popular Matching
TL;DR: This paper defines new dominance rules for this problem and presents several novel graph properties characterising the posts that should be copied with priority, called Popular Matching with Copies, and presents a comprehensive set of experiments for the popular matching problem with copies.
Proceedings Article
An improved metaheuristic algorithm for maximizing demand satisfaction in the population harvest Cutting Stock Problem
TL;DR: A greedy version of an existing metaheuristic al- algorithm for a special version of the Cutting Stock Problem that itera-tively generates new weights vectors by making local changes over the best weights vector computed so far.
Journal Article
Failure analysis in backtrack search for constraint satisfaction
Tudor Hulubei,Barry O'Sullivan +1 more
TL;DR: In this article, the authors compare mean and median effort based on the number of backtracks, constraint checks, or nodes in the search tree, but measures such as the incorrect decisions have also been proposed.
Proceedings Article
Uncovering functional dependencies in MDD-compiled product catalogues
Tarik Hadžic,Barry O'Sullivan +1 more
TL;DR: This paper develops efficient algorithms that operate over decision diagrams, which allow us to handle catalogues that are out of reach for current approaches and applies these algorithms to tabular and combinatorial benchmarks and detects a number of properties that could be considered as anomalies in product catalogues.