A penalty function is a mathematical tool used in optimization to handle constraints by incorporating them into the objective function. It modifies the objective by adding a term that imposes a 'penalty' for violating constraints, encouraging feasible solutions during the optimization process. This approach allows algorithms to search for solutions while systematically guiding them towards adherence to constraints, enhancing convergence properties.
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