penalty function

Penalty function is often used to deal with the constrained optimization problems, but it is difficult to choose parameter property.

In the Genetic Algorithm, penalty function is often used to deal with constrains.

The reconstructed surface is primarily affected by the quadrilateral meshes and can be improved by introducing penalty function.

For other constraints, by means of penalty function the augmented objective function is formed.

The joining between shell temperature elements and three- dimensional temperature elements is accomplished by the penalty function method.

Penalty function method for solving constrained (minimum) optimization problem of a class of better algorithms .

Secondly, we apply a penalty function method of a mixed-integer nonlinear programming to the production batch of drinks.

Penalty function was added to system-level object function to convert unconstrained optimization into constrained optimization.

Combined with exact non- differentiable penalty function, a new chaos genetic optimization algorithm is presented.

The paper proposed a sufficient and necessary condition for the problem to admit an exact penalty function approach.

First newly object function is constructed with penalty function, then applying immune algorithm to solving .

Listed here point penalty function method within the six subroutines.

The mixed penalty function method is used for the optimization.

To seek optimal accuracy value of final transmission for small tractor, the interior point penalty function is adopted.

The multiplier penalty function method is a final stage to deals with inequality constraints.

In numerical manifold method, fixed boundary is treated by penalty function method.

The penalty function method is applied for finding the unknown boundary.

The penalty function is not employed.

A new method of FE model updating is presented based on the physical meaning of sensitivity and the penalty function concept.

Through the penalty function method which was improved, the problem was transformed to non-restraint optimization problem. 5.

The optimization method used for the mathematics model is outer-point penalty function method and the step length acceleration algorithm;

Differential Evolution for Nonlinear Constrained Optimization Using Non-stationary Multi-stage Assignment Penalty Function

The expected discounted penalty function at ruin during the classical risk process with deterministic return on investment

Expected value of a penalty function for a markovian risk model

Non-parameter Penalty Function Multi-Objective Orthogonal Genetic Algorithm for Nonlinear Programming Problem

Penalty function and its improved algorithms for regression type support vector machine

Fuzzy dynamic penalty function Gas and its application to optimum design of reinforced concrete beam

Genetic Algorithm with Fuzzy Penalty Function and Its Application in Curve Smoothing

Genetic Algorithm with Fuzzy Penalty Function and its Application in Ship Lines Fairing

Optimal Power Flow Using Particle Swarm Optimization and Non-Stationary Multi-Stage Assignment Penalty Function

Penalty Function for the Nonlinear Complementarity Problem

The Penalty Function of Risk Model with a Dividend Barrier

Research and application of the turn penalty function in the transportation planning

Application of the Penalty Function Combined with Genetic Algorithm

Penalty Function Algorithm of Solving Objection Function Controlled Trilevel Linear Programming

The deduction of the calculation formulas for rigid-viscoplastic FEM based on penalty-function method and previous constitutive model

The Expected Discounted Penalty Function of Cox Process with Variable Premium

Application of genetic algorithm and penalty function method in machine optimal design

Hyperbolic Penalty Function Multiplier Method

Genetic Algorithm of the Acoustic Identification of the Two Dimensional Flaw in View of the Penalty Function

A method of non-linear penalty function for solving integer programming and mixed integer programming

The application of internal penalty function method on the optimized design of chain drive

The penalty-function based on the voting principles and its multi-proposition reasoning systems

Penalty Function Method for Generation Scheduling in Power Market

Penalty Function of a Kind of Alternate Renewal Risk Processes

The Problem of Selection of Initial Value and Multi-step of the Method of Penalty Function Multiplier

Solving Delay Constrained Multicast Routing Problem with Genetic Algorithm Based on Accuracy Penalty Function

Penalty function method for the thermal unit commitment

A Method of Penalty Function for Solving Nonlinear Mixed Integer Programming

An Exact Penalty Function Approach for Linear Bilevel Multiobjective Proramming

Convergence of Penalty Function Algorithm in Time Optimal Control Problem

Exact Penalty Function for Mixed-Integer Programming

Penalty Function Method Based on Distributed Network Parallel Environment

Study on Optimal Design of High-rise Buildings Foundation Based on Genetic Algorithm with Fuzzy Penalty Function

Optimal order- reduction of model based on particle swarm optimization and penalty function

Optimized Phase Tracking Method of Chaotic Spreading Sequences Based on Mixed Penalty Function

Research on multi-modal smooth transition strategy based on penalty function

A Global Convergent Method for Linear Bilevel Programs Based on Penalty Function

Hybrid Genetic Algorithm Based on Novel Adaptive Penalty Function

A Mixture Expert Model's Parameters Training Method Based on Penalty Function

Optimal Design of Bolt Tensile Strength Based on Penalty function Method

A General Model of Non-Linear Neural Networks Based on Exact Penalty Function

Robot Path Planning Algorithm Based on Penalty Function

A Blind Separation Algorithm Based on Penalty Function