Developing Approaches for Solving a Telecommunications Feature Subscription Problem

David Lesaint, Deepak Mehta, Barry O'Sullivan, Luis Quesada, Nic Wilson

Research output: Contribution to journalArticle

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Call control features (e.g., call-divert, voice-mail) are primitive options to which users can subscribe off-line to personalise their service. The configuration of a feature subscription involves choosing and sequencing features from a catalogue and is subject to constraints that prevent undesirable feature interactions at run-time. When the subscription requested by a user is inconsistent, one problem is to find an optimal relaxation, which is a generalisation of the feedback vertex set problem on directed graphs, and thus it is an NP-hard task. We present several constraint programming formulations of the problem. We also present formulations using partial weighted maximum Boolean satisfiability and mixed integer linear programming. We study all these formulations by experimentally comparing them on a variety of randomly generated instances of the feature subscription problem.

Original languageEnglish
Pages (from-to)271-305
Number of pages35
JournalJournal of Artificial Intelligence Research
Publication statusPublished - 2010

ASJC Scopus subject areas

  • Artificial Intelligence

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