The reliability and increasing performance of search-tree-based interval solvers for solving numerical systems of constraints make them applicable to various […]
Toward a multi-objective optimization robust problem, the variations in design variables and design environment parameters include the small variations and […]
Constraint programming effectively solves constraint satisfaction and optimization problems by basically building, pruning, and exploring a search tree of potential solutions. In this context, […]
Solving constraint satisfaction problems via constraint programming involves the exploration of a search tree where the potential solutions are distributed. […]
The Set Covering Problem consists in finding a subset of columns in a zero-one matrix such that they cover all the rows of the […]
