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penalty function
noun
Any function that applies constraints to a maximum or minimum problem
Exact(60)
A Bayesian penalty function is implemented with Gauss Newton methods.
An auxiliary function is constructed based on a penalty function.
Constraints are handled through a fuzzy penalty function method.
By introducing a novel penalty function to penalize constraint violations, we form an approximate optimization problem in which the penalty function is minimized subject to only bound constraints.
A penalty function approach and a Sequential Unconstrained Minimization method are used.
This is accomplished by minimizing a properly defined penalty function for the associated boundary value problem.
The solution is obtained with the penalty function method iteratively with regularization.
To achieve the optimal discrete variables, a new penalty function is introduced.
In order to handle inequality constraints, the penalty function method is also applied.
The physical meaning of sensitivity and the penalty function concept is employed in the iterative calculation.
In this paper, we investigate three exterior penalty function approaches for solving linear programming problems.
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