These solvers are based on Boolean constraint solving technology, and they can solve hard discrete combinatorial search problems, with comparable results with ILP.
In this paper, we present an original approach (CPRTA for "Constraint Programming for solving Real-Time Allocation") based on constraint programming to solve a static allocation problem of hard real-time tasks.
An embodiment design approach of this process based on constraint satisfaction problem-solving techniques is presented.
A hybrid solving algorithm is designed based on constraint satisfaction and Best-Fit approximation algorithm.
Our methodology is based on Constraint Programming and is implemented by using Gecode, a state-of-the-art framework for constraint solving.
Recently (Proceedings of the SPIE, San Jose, CA, January 2002), we have made a preliminary study on how these approaches based on single constraints solve the underlying bi-criterion optimization problem.
Modern ASP solvers are based on advanced Boolean constraint solving technology and thus provide highly efficient inference engines [ 7].
This book constitutes the thoroughly refereed post-proceedings of the 14th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2009, held in Barcelona, Spain, in June 2009.
Then, we introduce a framework for constraint implementation, based on first solving an unconstrained estimation problem and then a constrained problem, with recursive estimators such as the unscented Kalman filter (UKF) and the ensemble Kalman filter (EnKF); we also show that the same framework is applicable for moving horizon estimation (MHE).
In this paper, we propose to create fair surfaces satisfying prescribed G1 boundary constraints, based on solving a partial differential equation (PDE) that is intrinsic.
