Constraint optimization, also known as constrained optimization, is a mathematical optimization problem where the objective function to be optimized is subject to some constraints. These constraints limit the possible values that the variables can take, which can result in a feasible solution that satisfies all constraints, or an infeasible solution that violates one or more constraints. The goal of constraint optimization is to find the optimal solution (maximum or minimum) that satisfies all constraints. Constraint optimization is used in various fields, such as engineering, finance, and operations research, to optimize resources, minimize costs, or maximize efficiency while respecting real-world constraints.
Publication date: