• An adaptive large neighbourhood search algorithm for diameter bounded network design problems 

  Garraffa, Michele; Mehta, Deepak; O'Sullivan, Barry; Ozturk, Cemalettin; Quesada, Luis (Springer Nature Switzerland AG, 2021-06-23)

  This paper focuses on designing a diameter - constrained network where the maximum distance between any pair of nodes is bounded. The objective considered is to minimise a weighted sum of the total length of the links ...
• Classifier-based constraint acquisition 

  Prestwich, Steven D.; Freuder, Eugene C.; O'Sullivan, Barry; Browne, David (Springer, 2021-04-17)

  Modeling a combinatorial problem is a hard and error-prone task requiring significant expertise. Constraint acquisition methods attempt to automate this process by learning constraints from examples of solutions and (usually) ...
• Cancer and breast cancer awareness interventions in an intellectual disability context: A review of the literature 

  Walsh, Susan; O'Mahony, Mairin; Lehane, Elaine; Farrell, D.; Taggart, L.; Kelly, L.; Sahm, Laura; Byrne, A.; Corrigan, M.; Caples, Maria; Martin, Anne-Marie; Tabirca, Sabin; Corrigan, M. A.; Hegarty, Josephine (SAGE Publications, 2019-05-19)

  Background: Women with an intellectual disability (ID) have a similar risk of developing breast cancer as women in the general population yet present with later stage breast cancers, which have poorer outcomes. Aim: To ...
• Extrapolating from limited uncertain information in large-scale combinatorial optimization problems to obtain robust solutions 

  Climent, Laura; Wallace, Richard J.; O'Sullivan, Barry; Freuder, Eugene C. (World Scientific Publishing, 2016-02)

  Data uncertainty in real-life problems is a current challenge in many areas, including Operations Research (OR) and Constraint Programming (CP). This is especially true given the continual and accelerating increase in the ...
• Using context-awareness for storage services in edge computing 

  Pérez-Torres, Rafael; Torres-Huitzil, César; Truong, Thuy; Buckley, Donagh; Sreenan, Cormac J. (Institute of Electrical and Electronics Engineers, IEEE, 2021-03-31)

  Modern mobile networks face a dynamic environment with massive devices and heterogeneous service expectations that will need to significantly scale for 5G. Edge computing approaches aim at enhancing scalability through ...

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