Constraint programming (CP) is a programming paradigm where relations between variables are stated in the form of constraints. It's particularly useful for solving complex combinatorial problems such ...

Task 1 (task1.py) - Develop a constraint satisfaction model that solves the following logical puzzle: James, Daniel, Emily, and Sophie go out for dinner. They all order a starter, a main course, a ...

Constraint Programming (CP) has been successful in a number of combinatorial search and discrete optimisation problems. Yet other more traditional approaches, such as Integer Programming (IP), can ...

Abstract: Linear constraint solving in constraint logic programming requires incremental checks of the satisfiability of a system of equations and inequalities. Experience has shown that Gauss-Jordan ...

ABSTRACT: Over the past few decades, numerous optimization-based methods have been proposed for solving the classification problem in data mining. Classic optimization-based methods do not consider ...

https://doi.org/10.2307/2582400 • https://www.jstor.org/stable/2582400 Copy URL This paper offers a new approach to the solution of zero-one goal-programming ...

Abstract: The optimal value of un-linear objective function of chance constrain programming worked out interval estimation from mathematical statistic angle, discussed the improvement estimate ...