Constraint Logic Programming (CLP) is a programming paradigm that combines the principles of logic programming with constraint satisfaction. In CLP, problems are expressed in terms of variables, constraints, and logical relations, allowing for efficient problem-solving by narrowing down possible solutions based on given conditions. CLP is particularly useful in fields like artificial intelligence, operations research, and combinatorial optimization. By using constraints to limit the search space, CLP can find solutions more quickly than traditional methods, making it a powerful tool for tackling complex problems in various domains.