Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...

Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

RODOS is a Real-time On-line DecisiOn Support system intended for use throughout a nuclear emergency, extending into the longer term. In this paper we concentrate on the early phases in which ...

If you’ve ever completed a sudoku puzzle, then you’ve completed a constraint satisfaction problem (CSP). This type of problem is defined as a mathematical question where a number of constraints or ...

constraint satisfaction problems, or CSPs for short, are a flexible approach to searching that have proven useful in many AI-style problems CSPs can be used to solve problems such as graph-coloring: ...

This is a preview. Log in through your library . Abstract Abstract. A multiobjective optimization problem (MOP) with inequality and equality constraints is considered where the objective and ...