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 ...

This repository contains a visual implementation and analysis of a Constraint Satisfaction Problem (CSP) involving the coloring of 9 flower districts. The problem demonstrates key CSP concepts ...

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 project uses a Constraint Satisfaction Problem (CSP) and backtracking search to solve a road trip planning problem across the contiguous United States. Each node is a U.S. state (or D.C.), ...

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 ...

Abstract: This paper introduces StreamLLM, a method that uses Large Language Models (LLMs) to generate streamliners for constraint programming. Streamliners narrow the search space to improve the ...

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 ...

This is a preview. Log in through your library . Abstract Bracken and McGill have discussed the theory, computations, and an example of mathematical programming models with optimization problems in ...