The penalty function
OPTIMUM DESIGN OF FILAMENT–WOUND LAMINATED CONICAL SHELLS FOR BUCKLING USING THE PENALTY FUNCTION
... no discontinuity in the slope of the buckling load curve due to change in the circumferential wave number. This behavior is typical of the buckling of conical shells see Goldfeld, Sheinman and Baruch 6 for buckling ...
7
A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi Objective Programming
... a penalty function with objective parameters and constraint penalty pa- ...the penalty function with objective parameters and constraint penalty parameter for MP and the ...
10
On the discounted penalty function in a Markov-dependent risk model
... discounted penalty function in model (2) is ...discounted penalty function for zero initial ...the penalty function is investigated for light-tailed claim ...
25
Minimax concave bridge penalty function for variable selection
... nonconcave penalty functions that satisfy the conditions spelt out by Fan and Li will necessarily have to be singular and ...the penalty function by a quadratic function ...likelihood ...
128
A modified exact smooth penalty function for nonlinear constrained optimization
... the penalty function In this section, we show that our penalty function is exact in the sense that under certain conditions, local minimizer of our penalty function has the form ...
11
Semiparametric penalty function method in partially linear model selection
... semiparametric penalty function method through using simulated ...the penalty–function–based selection criterion and develops its asymptotic ...
19
Semiparametric penalty function method in partially linear model selection
... semiparametric penalty function method through using simulated ...the penalty–function–based selection criterion and develops its asymptotic ...
19
Convergence of exponential penalty function method for multiobjective fractional programming problems
... the penalty function ...The penalty function method is effective if the sequence of solutions of uncon- strained problems converge to the solution of related con- strained optimization ...
6
Dimensionality Reduction and Feature Selection using a Mixed-norm Penalty Function
... output of an entire layer has the same pattern as some other layer, then the entire layer will be removed in the third stage of pruning. The iterative method proposed in [24] describes a method for reducing the size of ...
145
On the discounted penalty function in the discrete time stationary renewal risk model
... discounted penalty function was explicitly expressed in terms of a compound geometric distribution function, and the explicit expressions for the ...the penalty function for the ...
6
A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty
... KS function 2.2The method of grouping penalty in GA Penalty function method is the most commonly used method for handing constraints in genetic ...reasonable penalty coefficient is a ...
7
A generalized penalty function in Sparre Andersen risk models with surplus-dependent premium
... Gerber-Shiu function proposed by Cheung et ...Gerber-Shiu function is derived, and it is shown that its determination reduces to the evalua- tion of a transition function which is independent of the ...
27
Solving linear bilevel multiobjective programming problem via exact penalty function approach
... Although solving the bilevel multiobjective programming problem is not an easy task, some researchers have presented feasible approachers for this problem. Shi and Xia [, ] propose an interactive algorithm based on the ...
12
Penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources
... the penalty function may lead to improved performance for the solution of the BSS problem, and the implementation of a nonunitary constraint in a later example indicates an additional ability of the ...
17
Decrease of the Penalty Parameter in Differentiable Penalty Function Methods
... differentiable penalty methods for solving nonlinear programming ...the penalty parameter and the ill-conditioning of the penalty method and leads to a faster convergence to the optimal ...
7
A Smoothing Penalty Function Method for the Constrained Optimization Problem
... exact penalty functions is that it is nondiffe- rentiable, which prevents the use of efficient minimization methods that are based on Gradient-type or Newton-type algorithms, and may cause some nu- merical ...
14
The L∞ exact penalty function in semi infinite programming
... exact penalty function is presented, and global conver gence is ...implicit function theorem to be applicable to the semi-infinite constraints; a much weaker assumption concerning the finiteness of ...
19
Solving a signalized traffic intersection problem with an hyperbolic penalty function
... hyperbolic penalty function is used to solve this practical problem, computing the total average waiting time of the vehicles in all queues and the green split ...
5
Smoothed Lower Order Penalty Function for Constrained Optimization Problems
... Order Penalty Function for Constrained Optimization Problems Nguyen Thanh Binh Abstract—The paper introduces a smoothing method to the lower order penalty function for constrained optimization ...
6
Smoothing of the lower order exact penalty function for inequality constrained optimization
... Abstract In this paper, we propose a method to smooth the general lower-order exact penalty function for inequality constrained optimization. We prove that an approximation global solution of the original ...
12