Results 71 to 80 of about 442,995 (188)

Dynamic programming and penalty functions

open access: yesJournal of Mathematical Analysis and Applications, 1990
The authors modify the augmentable method for the solution of optimization problems with constraints by using penalty functions in association with the dynamic programming technique and demonstrate that the dynamic programming technique can play an effective role in the method of penalty functions. They then manipulate optimization problems with one or
Wang, Chung-lie, Xing, An-qing
openaire   +2 more sources

On the Convergence of a Smooth Penalty Algorithm without Computing Global Solutions

open access: yesJournal of Applied Mathematics, 2012
We consider a smooth penalty algorithm to solve nonconvex optimization problem based on a family of smooth functions that approximate the usual exact penalty function.
Bingzhuang Liu   +2 more
doaj   +1 more source

ADVANCE OPTIMIZATION OF ECONOMIC EMISSION DISPATCH BY PARTICLE SWARM OPTIMIZATION (PSO) USING CUBIC CRITERION FUNCTIONS AND VARIOUS PRICE PENALTY FACTORS

open access: yesJurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2014
ADVANCE OPTIMIZATION OF ECONOMIC EMISSION DISPATCH BY PARTICLE SWARM OPTIMIZATION (PSO) USING CUBIC CRITERION FUNCTIONS AND VARIOUS PRICE PENALTY FACTORS a Joko Pitono, bAdi Soepriyanto, cMauridhi Hery Purnomo aDepartment of Electrical Engineering ...
Joko Pitono   +2 more
doaj  

普通V带传动的优化设计

open access: yesJixie chuandong, 2006
The internal penalty function method will be applied to the optimization design of V belt transmission.First the optinal mathematical model is derived through internal penalty functions method,then the design variable, target function and constraint are ...
莫才颂, 千学明, 王岗罡
doaj  

Operational Properties of SCN Function, Optimization Condition, and Exactness of Penalty Function for SCN Optimization

open access: yesJournal of Mathematics
This paper defines a strong convertible nonconvex (SCN) function for solving the unconstrained optimization problems with the nonconvex or nonsmooth (nondifferentiable) function.
Min Jiang   +3 more
doaj   +1 more source

Penalty parameter of the penalty function method

open access: yes, 2014
The penalty parameter of penalty function method is systematically analyzed and discussed. For the problem that Deb's feasibility-based rule doesnot give the detailed instruction as how to rank two solutions when they have the same constraint violation, an improved Deb's feasibility-based rule is presented, which can be seen as a reference standard ...
Si, Cheng Yong   +4 more
openaire   +1 more source

Penalty Coefficient Adjustment Technique for Extended Ising Machines

open access: yesIEEE Access
We have developed an extended Ising machine that extends the energy function, which is restricted to a binary-quadratic form in conventional Ising machines, to include a variety of penalty functions representing inequality constraints and higher-order ...
Fang Yin   +3 more
doaj   +1 more source

Estimation of nonparametric conditional moment models with possibly nonsmooth moments [PDF]

open access: yes
This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables.
Demian Pouzo, Xiaohong Chen
core  

A Novel Nonconvex Penalty Method for a Rank Constrained Matrix Optimization Problem and its Applications

open access: yesInternational Journal of Applied Mathematics and Computer Science
The rank constrained nonconvex nonsmooth matrix optimization problem is an important and challenging issue. To solve it, we first design a penalty model in which the penalty term can be expressed as a sum of specific functions defined on smallest ...
Zhang Wenjuan   +4 more
doaj   +1 more source

Parameter estimation for the Euler-Bernoulli-beam [PDF]

open access: yes
An approximation involving cubic spline functions for parameter estimation problems in the Euler-Bernoulli-beam equation (phrased as an optimization problem with respect to the parameters) is described and convergence is proved.
Graif, E., Kunisch, K.
core   +1 more source

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