The problem of image segmentation using constraint satisfaction neural networks (CSNN) has been considered. Several variations of the CSNN theme have been advanced to improve its ...
The Constraint Problems usually addressed fall into one of two models: the Constraint Satisfaction Problem (CSP) and the Constraint Optimization Problem (COP). However, in many rea...
Many problems of theoretical and practical interest can be formulated as Constraint Satisfaction Problems (CSPs). The general CSP is known to be NP-complete; however, distributed m...
Montserrat Abril, Miguel A. Salido, Federico Barbe...
In this paper, we describe an approach for automatically generating configurations for complex applications. Automated generation of system co nfigurations is required to allow lar...
Tim Hinrichs, Nathaniel Love, Charles J. Petrie, L...
We present a new heuristic approach for maximal constraint satisfaction of overconstrained problems (MAX-CSP). This approach is based on a formulation of CSP as an optimization pro...