Results 11 to 20 of about 3,986 (259)

STABILIZED SEQUENTIAL QUADRATIC PROGRAMMING: A SURVEY [PDF]

open access: yesPesquisa Operacional, 2014
Fil: Fernandez Ferreyra, Damian Roberto. Universidad Nacional de Cordoba. Facultad de Matematica, Astronomia y Fisica; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Centro de Investigacion y Estudios de Matematica. Universidad Nacional de Cordoba.
Fernández, Damián, Solodov, Mikhail
openaire   +5 more sources

Economic Dispatch of Micro-grid Based on Sequential Quadratic Programming—Model and Formulation [PDF]

open access: yesE3S Web of Conferences, 2019
This paper proposes an economic dispatch strategy for micro-grid based on the sequential quadratic programming (SQP) method. In this paper, in the off-grid operating state, according to the load, the kinds of micro sources and the operating cost, the ...
Xu Bo   +6 more
doaj   +1 more source

Prediction of Seismic Bearing Capacity Considering Nonlinearity and Dilatancy by Sequential Quadratic Programming

open access: yesApplied Sciences, 2023
Most of the published literature regarding bearing capacity are often focused on linear and associative soils. Concerning the intrinsic strength nonlinearity in dilatancy soils, this study investigates the problem of the seismic bearing capacity in the ...
Hong Liao, De Zhou
doaj   +1 more source

A Simple SQP Algorithm for Constrained Finite Minimax Problems

open access: yesThe Scientific World Journal, 2014
A simple sequential quadratic programming method is proposed to solve the constrained minimax problem. At each iteration, through introducing an auxiliary variable, the descent direction is given by solving only one quadratic programming.
Lirong Wang, Zhijun Luo
doaj   +1 more source

Priority‐based resource allocation in wireless powered UAV‐assisted networks

open access: yesIET Networks, 2022
Unmanned aerial vehicles (UAVs) can be deployed to combine terrestrial and aerial networks to provide flexible connectivity to a large number of devices in three‐dimensional (3D) space.
Mehak Basharat   +2 more
doaj   +1 more source

A convex OPF approximation for selecting the best candidate nodes for optimal location of power sources on DC resistive networks

open access: yesEngineering Science and Technology, an International Journal, 2020
This paper proposes a convex approximation approach for solving the optimal power flow (OPF) problem in direct current (DC) networks with constant power loads by using a sequential quadratic programming approach.
Oscar Danilo Montoya
doaj   +1 more source

Swarming Computational Procedures for the Coronavirus-Based Mathematical SEIR-NDC Model

open access: yesJournal of Mathematics, 2022
The motive of the current work is related to solving the coronavirus-based mathematical system of susceptible (S), exposed (E), infected (I), recovered (R), overall population (N), civic observation (D), and cumulative performance (C), called as SEIR-NDC.
Suthep Suantai   +3 more
doaj   +1 more source

Multi-UAV Area Coverage Based on Relative Localization: Algorithms and Optimal UAV Placement

open access: yesSensors, 2021
This paper is concerned with relative localization-based optimal area coverage placement using multiple unmanned aerial vehicles (UAVs). It is assumed that only one of the UAVs has its global position information before performing the area coverage task ...
Ziyong Zhang   +3 more
doaj   +1 more source

Logspace Sequential Quadratic Programming for Design Optimization [PDF]

open access: yesAIAA Journal, 2022
A novel approach to exploiting the log-convex structure present in many design problems is developed by modifying the classical Sequential Quadratic Programming (SQP) algorithm. The modified algorithm, Logspace Sequential Quadratic Programming (LSQP), inherits some of the computational efficiency exhibited by log-convex methods such as Geometric ...
openaire   +2 more sources

A Filter-SQP strategy for training Support Vector Machine models

open access: yesREMAT, 2023
This paper introduces a filtering strategy for addressing optimization problems arising in binary Support Vector Machine classification. The training optimization problem aims to solve the dual formulation which involves a quadratic objective function ...
Tiago Lino Bello   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy