Results 21 to 30 of about 184,637 (335)

The parallel approximability of a subclass of quadratic programming [PDF]

open access: yes, 1997
In this paper we deal with the parallel approximability of a special class of Quadratic Programming (QP), called Smooth Positive Quadratic Programming. This subclass of QP is obtained by imposing restrictions on the coefficients of the QP instance.
Serna Iglesias, María José   +1 more
core   +1 more source

An improved constrained dynamic matrix control for temperature in an industrial coke furnace

open access: yesMeasurement + Control, 2019
In order to derive the feasible control law of the constrained model predictive control scheme, quadratic programming has been introduced as an effective method. It is known that the typical performance index for model predictive control strategies under
Hongbo Zou, Limin Wang
doaj   +1 more source

An improved constrained predictive functional control for industrial processes: A chamber pressure process study

open access: yesMeasurement + Control, 2020
An improved constrained predictive functional control for the pressure of a coke furnace is proposed in this article. In conventional constrained model predictive control, a quadratic programming problem is usually constructed to replace the original ...
Sheng Wu, Pingzhi Hou, Hongbo Zou
doaj   +1 more source

Mixed-Integer Programming to Solve Distribution Problems

open access: yesJournal of New Results in Science, 2020
Mixed-integer linear and quadratic programming problems are considered to solve distribution problems in this paper. The first problem is the distribution of proctors with respect to the student placements to the class- rooms by mixed-integer linear ...
Kamil Oruçoğlu   +4 more
doaj  

Computationally Efficient Trajectory Optimization for Linear Control Systems with Input and State Constraints

open access: yes, 2012
This paper presents a trajectory generation method that optimizes a quadratic cost functional with respect to linear system dynamics and to linear input and state constraints.
Kennel, Ralph, Stumper, Jean-Francois
core   +1 more source

Solving Quadratic Fractional Programming Problem

open access: yesInternational Journal of Applied Mathematical Research, 2013
In this paper the Quadratic fractional objective programming problem (QFPP) with linear constraints, has been defined and developed. The special case for this problem was solved by using the Wolfe’s method and a modified simplex approach, by suggesting an algorithm for each method to solve the problem. The computer application for algorithms was tested
Najmaddin Sulaiman, Maher Nawkhass
openaire   +2 more sources

A Novel Method for Optimal Control of Piecewise Affine Systems Using Semi-Definite Programming [PDF]

open access: yesInternational Journal of Industrial Electronics, Control and Optimization, 2020
: In this paper, a novel optimal control design method by discontinuous quadratic Lyapunov function and continuous quadratic Lyapunov function for 2-dimensional piecewise affine systems via semi-definite programming and LMI constraints is proposed.In ...
Majid Akbarian   +2 more
doaj   +1 more source

Dual possibilistic regression models of support vector machines and application in power load forecasting

open access: yesInternational Journal of Distributed Sensor Networks, 2020
Power load forecasting is an important guarantee of safe, stable, and economic operation of power systems. It is appropriate to use interval data to represent fuzzy information in power load forecasting.
Xianfei Yang, Xiang Yu, Hui Lu
doaj   +1 more source

A Multi-Level Multi-Objective Integer Quadratic Programming Problem Under Pentagonal Neutrosophic Environment

open access: yesFuzzy Information and Engineering, 2023
The aim of this paper is to propose an algorithm to solve and enhance a multi-level multi-objective integer quadratic programming problem (MLMOIQPP) under a single-valued Pentagonal Neutrosophic environment applied to the objective functions.
N. M. Bekhit   +2 more
doaj   +1 more source

Mixed-integer Quadratic Programming is in NP [PDF]

open access: yes, 2014
Mixed-integer quadratic programming is the problem of optimizing a quadratic function over points in a polyhedral set where some of the components are restricted to be integral. In this paper, we prove that the decision version of mixed-integer quadratic
Del Pia, Alberto   +2 more
core  

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