Search Results - "Gradient-based algorithm"
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An Accelerated Distributed Gradient-Based Algorithm for Constrained Optimization With Application to Economic Dispatch in a Large-Scale Power System
ISSN: 2168-2216, 2168-2232Published: New York IEEE 01.04.2021Published in IEEE transactions on systems, man, and cybernetics. Systems (01.04.2021)“… To solve this problem, a new accelerated distributed gradient-based algorithm is proposed, which is inspired by the "momentum" phenomena in nature and aims to accelerate the convergence speed…”
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Joint optimization of number of wells, well locations and controls using a gradient-based algorithm
ISSN: 0263-8762, 1744-3563Published: Elsevier B.V 01.07.2014Published in Chemical engineering research & design (01.07.2014)“… with an efficient gradient-based algorithm. The proposed well-placement optimization algorithm begins by placing a large number of wells in the reservoir, where, the well…”
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Distributed optimization problem for double-integrator systems with the presence of the exogenous disturbance
ISSN: 0925-2312, 1872-8286Published: Elsevier B.V 10.01.2018Published in Neurocomputing (Amsterdam) (10.01.2018)“…•A distributed optimization problem on double-integrator systems with the presence of external disturbance has been solved.•Each agent only needs to know its…”
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Consensus Control of a Class of Uncertain Nonlinear Multiagent Systems via Gradient-Based Algorithms
ISSN: 2168-2267, 2168-2275, 2168-2275Published: United States IEEE 01.06.2019Published in IEEE transactions on cybernetics (01.06.2019)“… Novel state feedback control laws are first proposed and the consensus subject to the optimization constraint is achieved when the communication graph is directed…”
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Numerical Solution of Fractional Optimal Control
ISSN: 0022-3239, 1573-2878Published: New York Springer US 01.02.2019Published in Journal of optimization theory and applications (01.02.2019)“…This paper presents a numerical algorithm for solving a class of nonlinear optimal control problems subject to a system of fractional differential equations…”
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Event-triggered gradient-based distributed optimisation for multi-agent systems with state consensus constraint
ISSN: 1751-8644, 1751-8652Published: The Institution of Engineering and Technology 03.07.2018Published in IET control theory & applications (03.07.2018)“…This study focuses on the event-triggered gradient-based algorithm for a distributed optimisation problem of multi-agent system subject to state consensus constraint over directed networks, where each…”
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Iris Recognition on Images Reconstructed with Gradient-based Algorithm
ISSN: 2637-9511Published: IEEE 01.06.2020Published in Mediterranean Conference on Embedded Computing (New Jersey. Online) (01.06.2020)“… For the reconstruction the gradient-based algorithm is used. The reconstruction is tested considering different percentage of the pixels as damaged (missing)…”
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Conference Proceeding -
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Secure communication design for multi-user peer-to-peer wireless relay networks
ISSN: 1751-8628, 1751-8636Published: The Institution of Engineering and Technology 05.05.2016Published in IET communications (05.05.2016)“… First, considering user fairness, the authors study the max–min achievable secrecy rate problem subject to a total transmit power constraint…”
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Single-Loop Projection-Free and Projected Gradient-Based Algorithms for Nonconvex-Concave Saddle Point Problems with Bilevel Structure
ISSN: 0885-7474, 1573-7691Published: New York Springer US 01.05.2025Published in Journal of scientific computing (01.05.2025)“… and convex constraint sets, subject to a strongly convex lower-level objective function. This class of problems finds wide applicability in machine learning, encompassing robust multi-task learning, adversarial learning, and robust meta-learning…”
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Mathematical Optimization: Application to the Design of Optimal Micro-channel Heat Sinks
ISBN: 142445980X, 9781424459803Published: IEEE 01.11.2009Published in 2009 Third Southern Conference on Computational Modeling (01.11.2009)“…) the wall peak temperature of the heat sink subject to various constraints such as manufacturing restraints, fixed pressure drop and total fixed volume…”
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Conference Proceeding -
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Gradient-based size, shape, and topology optimization of single-layer reticulated shells subject to distributed loads
ISSN: 1615-147X, 1615-1488Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2022Published in Structural and multidisciplinary optimization (01.05.2022)“… This paper aims to address both issues by implementing a gradient-based algorithm to optimize the size, shape, and topology of a single-layer reticulated shell structure subjected to a distributed load…”
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Minimum‐cost optimization of nonlinear fluid viscous dampers and their supporting members for seismic retrofitting
ISSN: 0098-8847, 1096-9845Published: Bognor Regis Wiley Subscription Services, Inc 10.10.2017Published in Earthquake engineering & structural dynamics (10.10.2017)“… A realistic retrofitting cost function is minimized subject to constraints on inter‐story drifts at the peripheries of frame structures…”
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Distributed strategy selection: A submodular set function maximization approach
ISSN: 0005-1098, 1873-2836Published: Elsevier Ltd 01.07.2023Published in Automatica (Oxford) (01.07.2023)“… This paper considers a class of submodular optimization problems that consist of maximization of a monotone and submodular set function subject to a partition matroid constraint over a group…”
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Topology optimization of irregular flow domain by parametric level set method in unstructured mesh
ISSN: 2288-5048, 2288-4300, 2288-5048Published: Oxford Oxford University Press 01.02.2022Published in Journal of computational design and engineering (01.02.2022)“… The optimization problem is solved by a gradient-based algorithm with Stokes equations as state constraints, and the objective is set to minimize the power dissipation subject to the volume constraint of flow channels…”
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Peak Detection Algorithm for Vital Sign Detection Using Doppler Radar Sensors
ISSN: 1424-8220, 1424-8220Published: Switzerland MDPI 01.04.2019Published in Sensors (Basel, Switzerland) (01.04.2019)“… The algorithm shows the mean accuracy of 96.78% compared to the peak count from the reference ECG sensor and a processing time approximately two times faster than the gradient-based algorithm…”
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Topology optimization using M-SIMP approach to design electromagnetic structures
ISSN: 0307-904XPublished: Elsevier Inc 01.03.2026Published in Applied mathematical modelling (01.03.2026)“… Thus, they are formulated as Non-Linear Mixed Integer Optimization Models subject to PDE constraints…”
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A Non Linear Optimal Control Problem Related to a Road De-icing Device: Analysis and Numerical Experiments
ISSN: 0095-4616, 1432-0606Published: New York Springer US 01.06.2025Published in Applied mathematics & optimization (01.06.2025)“… We prove the well-posedeness of the nonlinear optimal control problem, subject to unilateral constraints on the control and the state, set up a gradient based algorithm then discuss some numerical…”
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Robust suboptimal feedback control for a fed-batch nonlinear time-delayed switched system
ISSN: 0016-0032, 1879-2693Published: Elsevier Inc 01.02.2023Published in Journal of the Franklin Institute (01.02.2023)“…•We propose a robust suboptimal feedback control problem designed based on the radial basis function.•This problem is approximated as a sequence of nonlinear…”
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Discrete topology optimization of ply orientation for a carbon fiber reinforced plastic (CFRP) laminate vehicle door
ISSN: 0264-1275, 1873-4197Published: Elsevier Ltd 15.08.2017Published in Materials & design (15.08.2017)“… displacements from the commercial finite element code. A gradient-based algorithm was employed in the DMO…”
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Journal Article -
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Single-loop Projection-free and Projected Gradient-based Algorithms for Nonconvex-concave Saddle Point Problems with Bilevel Structure
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 13.05.2024Published in arXiv.org (13.05.2024)“… and convex constraint sets, subject to a strongly convex lower-level objective function. This class of problems finds wide applicability in machine learning, encompassing robust multi-task learning, adversarial learning, and robust meta-learning…”
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