Pierre Flener

AI
3papers
33citations
Novelty27%
AI Score17

3 Papers

AISep 26, 2016
Global Constraint Catalog, Volume II, Time-Series Constraints

Ekaterina Arafailova, Nicolas Beldiceanu, Rémi Douence et al.

First this report presents a restricted set of finite transducers used to synthesise structural time-series constraints described by means of a multi-layered function composition scheme. Second it provides the corresponding synthesised catalogue of structural time-series constraints where each constraint is explicitly described in terms of automata with registers.

AIJan 29, 2014
Propagators and Violation Functions for Geometric and Workload Constraints Arising in Airspace Sectorisation

Pierre Flener, Justin Pearson

Airspace sectorisation provides a partition of a given airspace into sectors, subject to geometric constraints and workload constraints, so that some cost metric is minimised. We make a study of the constraints that arise in airspace sectorisation. For each constraint, we give an analysis of what algorithms and properties are required under systematic search and stochastic local search.

AISep 27, 2013
Propagating Regular Counting Constraints

Nicolas Beldiceanu, Pierre Flener, Justin Pearson et al.

Constraints over finite sequences of variables are ubiquitous in sequencing and timetabling. Moreover, the wide variety of such constraints in practical applications led to general modelling techniques and generic propagation algorithms, often based on deterministic finite automata (DFA) and their extensions. We consider counter-DFAs (cDFA), which provide concise models for regular counting constraints, that is constraints over the number of times a regular-language pattern occurs in a sequence. We show how to enforce domain consistency in polynomial time for atmost and atleast regular counting constraints based on the frequent case of a cDFA with only accepting states and a single counter that can be incremented by transitions. We also prove that the satisfaction of exact regular counting constraints is NP-hard and indicate that an incomplete algorithm for exact regular counting constraints is faster and provides more pruning than the existing propagator from [3]. Regular counting constraints are closely related to the CostRegular constraint but contribute both a natural abstraction and some computational advantages.