On the use of tasks ordering to solve scheduling problems with constraint programming

During the last two decades, Constraint Programming gets very good results to solve scheduling problems. Thanks to the great expressivity of the paradigm, different algorithms and solving techniques from other fields within Combinatorial Optimisation have been integrated into constraint solvers. However this great expressivity comes with a price: constraint solvers are not the black box one might think of and require expertise to be correctly configured to efficiently solve problems. In this thesis, we explore the introduction and the use of list ordering algorithms into Constraint Programming to solve scheduling problems. We also revisit the AllDiffPrec constraint, defined as an Alldifferent constraint with precedence between some variables, for which we propose a new filtering algorithm.