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20172026
most citedTowards Improving Solution Dominance with Incomparability Conditions: A case-study using Generator Itemset Mining

1 citations · 2 across the 11 of their papers we have counts for

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cs.AI2025

Faster Symmetry Breaking Constraints for Abstract Structures

Özgür Akgün, Mun See Chang, Ian P. Gent +1

In constraint programming and related paradigms, a modeller specifies their problem in a modelling language for a solver to search and return its solution(s). Using high-level mode…

cs.AI2025

Solver-Aided Expansion of Loops to Avoid Generate-and-Test

Niklas Dewally, Özgür Akgün

Constraint modelling languages like MiniZinc and Essence rely on unrolling loops (in the form of quantified expressions and comprehensions) during compilation. Standard approaches…

cs.AI20251 cited

Breaking the Symmetries of Indistinguishable Objects

Ozgur Akgun, Mun See Chang, Ian P. Gent +1

Indistinguishable objects often occur when modelling problems in constraint programming, as well as in other related paradigms. They occur when objects can be viewed as being drawn…

cs.AI2024

Automatic Feature Learning for Essence: a Case Study on Car Sequencing

Alessio Pellegrino, Özgür Akgün, Nguyen Dang +2

Constraint modelling languages such as Essence offer a means to describe combinatorial problems at a high-level, i.e., without committing to detailed modelling decisions for a part…

cs.AI2021

Towards Reformulating Essence Specifications for Robustness

Özgür Akgün, Alan M. Frisch, Ian P. Gent +4

The Essence language allows a user to specify a constraint problem at a level of abstraction above that at which constraint modelling decisions are made. Essence specifications are…

cs.AI2020

Efficient Incremental Modelling and Solving

Gökberk Koçak, Özgür Akgün, Nguyen Dang +1

In various scenarios, a single phase of modelling and solving is either not sufficient or not feasible to solve the problem at hand. A standard approach to solving AI planning prob…