Binding constraints in optimization are those that directly affect the feasible solution by limiting the values of decision variables. They are active at the optimal solution, meaning that if they were relaxed, the objective function could be improved. Identifying binding constraints helps understand the critical limits of the problem, guiding decision-makers on which constraints are most impactful in achieving better outcomes.