Výsledky vyhľadávania - d.c. optimization algorithms

A Branch and Bound Method via d.c. Optimization Algorithms and Ellipsoidal Technique for Box Constrained Nonconvex Quadratic Problems: A branch and bound method via d. c. optimization algorithms and ellipsoidal technique for box constrained nonconvex quadratic problems

Autori: Le Thi, Hoai An Pham Dinh, Tao Laboratoire d'Informatique Théorique et Appliquée (LITA) a ďalší

Prispievatelia: Le Thi, Hoai An Pham Dinh, Tao Laboratoire d'Informatique Théorique et Appliquée (LITA) a ďalší

Zdroj: Journal of Global Optimization. 13:171-206

Predmety: d.c. optimization, ball constrained quadratic problem, 0211 other engineering and technologies, difference of convex functions, branch-and-bound, [INFO]Computer Science [cs], ellipsoidal technique, 02 engineering and technology, Quadratic programming, [INFO] Computer Science [cs], Nonconvex programming, global optimization, DCA, box constrained quadratic problem

Popis súboru: application/xml

Prístupová URL adresa: https://hal.univ-lorraine.fr/hal-01636780v1
https://doi.org/10.1023/a:1008240227198
https://zbmath.org/1228824
https://doi.org/10.1023/a:1008240227198
https://dl.acm.org/citation.cfm?id=596195
https://hal.univ-lorraine.fr/hal-01636780
https://dblp.uni-trier.de/db/journals/jgo/jgo13.html#AnT98
https://link.springer.com/article/10.1023%2FA%3A1008240227198
https://dl.acm.org/doi/10.1023/A%3A1008240227198
https://doi.org/10.1023/A:1008240227198

Numerical solution for optimization over the efficient set by d.c. optimization algorithms

Autori: Le Thi, Hoai An Pham Dinh, Tao Le Dung, Muu a ďalší

Prispievatelia: Le Thi, Hoai An Pham Dinh, Tao Le Dung, Muu a ďalší

Zdroj: Operations Research Letters. 19:117-128

Predmety: d.c. optimization, exact penalty, decomposition method, 0211 other engineering and technologies, [INFO]Computer Science [cs], 02 engineering and technology, [INFO] Computer Science [cs], 0101 mathematics, efficient set, 01 natural sciences, Multi-objective and goal programming, multiple objective convex program

Popis súboru: application/xml

Prístupová URL adresa: https://hal.univ-lorraine.fr/hal-01636783v1
https://doi.org/10.1016/0167-6377(96)00022-3
https://zbmath.org/966927
https://doi.org/10.1016/0167-6377(96)00022-3
https://www.sciencedirect.com/science/article/pii/0167637796000223
https://dl.acm.org/doi/10.1016/0167-6377%2896%2900022-3
https://dblp.uni-trier.de/db/journals/orl/orl19.html#AnTM96

First order inertial optimization algorithms with threshold effects associated with dry friction.

Autori: Adly, Samir Attouch, Hedy Le, Manh Hung

Zdroj: Computational Optimization & Applications. Dec2023, Vol. 86 Issue 3, p801-843. 43p.

Predmety: OPTIMIZATION algorithms, DRY friction, HILBERT space, CONVEX functions

Global Search Methods and Basic D.C. Optimization Algorithms

Autori: Phan Thien Thach Hoang Tuy Hiroshi Konno

Zdroj: Nonconvex Optimization and Its Applications ISBN: 9781461368359

Prístupová URL adresa: https://link.springer.com/10.1007/978-1-4615-4098-4_6
https://rd.springer.com/chapter/10.1007/978-1-4615-4098-4_6
https://link.springer.com/content/pdf/10.1007%2F978-1-4615-4098-4_6.pdf
https://link.springer.com/chapter/10.1007/978-1-4615-4098-4_6

Résolution d'un problème quadratique non convexe avec contraintes mixtes par les techniques de l'optimisation D.C.

Solving a binary quadratic problem with mixed constraints by D.C. optimization techniques

Autori: Al Kharboutly, Mira

Thesis Advisors: Normandie, Yassine, Adnan

Predmety: Optimisation DC, Algorithmes DC (DCA), Programmation semi-définie positive, Pénalité exacte, DC optimization, DC algorithm (DCA), Exact penalty, Quadratic programming, Nonsmooth Newton method, Semidefinite programming, Interior points methods

Dostupnosť: http://www.theses.fr/2018NORMLH06/document

Applicability of deterministic global optimization to the short-term hydrothermal coordination problem

Autori: Ferrer Biosca, Alberto

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa

Thesis Advisors: Nabona, Narcís

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: global optimization, optimization, outer approximation, branch and bound, prismatical subdivision, semi-infinite quadratic program, d.c. presentation, 1207. Investigació operativa

Popis súboru: application/pdf

Prístupová URL adresa: http://www.tdx.cat/TDX-0928105-135935
http://hdl.handle.net/10803/6516
https://dx.doi.org/10.5821/dissertation-2117-93827

Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions

Autori: Mohammad Parvini Philipp Schulz Gerhard Fettweis

Zdroj: IEEE Open Journal of the Communications Society, Vol 5, Pp 1958-1974 (2024)

Predmety: Difference of two convex functions (d.c.) programming, optimization, multi-agent reinforcement learning (MARL), platooning, radio resource management (RRM), federated learning (FL), Telecommunication, TK5101-6720, Transportation and communications, HE1-9990

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10477602/; https://doaj.org/toc/2644-125X

Prístupová URL adresa: https://doaj.org/article/93459f728c534f32b43e7d7e6b5774ac

Application of MOHUS in Multi-Objective Optimal Allocation of Water Resources for the Central Route South-to-North Water Diversion Project in Hebei Province, China.

Autori: Guo, Wangxin Sha, Jinxia Xu, Dan a ďalší

Zdroj: Water (20734441); Jun2025, Vol. 17 Issue 11, p1612, 19p

Predmety: WATER rights, OPTIMIZATION algorithms, WATER diversion, MULTI-objective optimization, WATER use

Topology optimization using a natural neighbour meshless method combined with a bi-directional evolutionary algorithm

Autori: Gonçalves, D.C. Lopes, Joel Campilho, R.D.S.G. a ďalší

Prispievatelia: Gonçalves, D.C. Lopes, Joel Campilho, R.D.S.G. a ďalší

Predmety: Topology optimization, Bi-directional evolutionary topology optimization algorithm, Meshless Methods, Natural Neighbours, NNRPIM

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10400.22/22031

A Systematic Intelligent Optimization Framework for a Sustained-Release Formulation Design.

Autori: Qiao, Yuchao Wu, Yijia Han, Mengchen a ďalší

Zdroj: Pharmaceutics; Nov2025, Vol. 17 Issue 11, p1419, 19p

Predmety: MATHEMATICAL optimization, MULTI-objective optimization, CONTROLLED release preparations, CONTROLLED release drugs, REGRESSION analysis

A Stochastic Optimization Framework for Adaptive Spectrum Access and Power Allocation in Licensed-Assisted Access Networks

Autori: Yu Gu Yue Wang Qimei Cui

Zdroj: IEEE Access, Vol 5, Pp 16484-16494 (2017)

Predmety: Adaptive spectrum access and power allocation, D.C. programming, Hungarian algorithm, energy aware, LAA networks, LTE and WiFi coexistence, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8010404/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/7070ea1fdcb5451fb829a46e73c8bdf7

New Partitioning Method for a Class of Nonconvex Optimization Problems

Autori: Thach, Phan Thien

Zdroj: Mathematics of Operations Research, 1992 Feb 01. 17(1), 43-60.

Prístupová URL adresa: https://www.jstor.org/stable/3689892

A general double-proximal gradient algorithm for d.c. programming

Autori: Banert, Sebastian Bot, Radu Ioan

Zdroj: Mathematical programming. 178(1-2):301-326

Predmety: d.c. programming, Toland dual, Proximal-gradient algorithm, Kurdyka-Lojasiewicz property, Convergence analysis

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264316

Optimizing radial basis functions by D.C. programming and its use in direct search for global derivative-free optimization

Autori: Le Thi, Hoai An Vaz, A. I. F. Vicente, L. N.

Predmety: Global optimization, Derivative-free optimization, Direct-search methods, Search step, Radial basis functions, D.c. programming, DCA

Relation: Pré-Publicações DMUC. 09-37 (2009)

Dostupnosť: https://hdl.handle.net/10316/13642

Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line

Autori: Regina Lamedica Alessandro Ruvio Laura Palagi a ďalší

Zdroj: Energies, Vol 13, Iss 23, p 6271 (2020)

Predmety: optimization, energy storage system (ESS), siting, sizing, regenerative braking, particle swarm optimization (PSO) algorithm, Technology

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1996-1073/13/23/6271; https://doaj.org/toc/1996-1073

Prístupová URL adresa: https://doaj.org/article/1b3f0c8eddbc4ec092bafdefa98d95c5

Predicting EGFR L858R/T790M/C797S Inhibitory Effect of Osimertinib Derivatives by Mixed Kernel SVM Enhanced with CLPSO.

Autori: Li, Shaokang Dong, Wenzhe Qu, Aili

Zdroj: Pharmaceuticals (14248247); Aug2025, Vol. 18 Issue 8, p1092, 22p

Predmety: OSIMERTINIB, EPIDERMAL growth factor receptors, OPTIMIZATION algorithms, MOLECULAR docking, CHEMICAL inhibitors, SUPPORT vector machines, GENETIC mutation

On Cone D.C. Optimization and Conjugate Duality.

Autori: Semu, M.¹ semu_mitiku@yahoo.com

Zdroj: Chinese Annals of Mathematics. Oct2003, Vol. 24 Issue 4, p521-528. 8p.

Predmety: *MATHEMATICAL programming, *ALGORITHMS, *OPERATIONS research, *FUNCTIONAL equations, *MATHEMATICAL optimization

Development of Flood Early Warning Framework to Predict Flood Depths in Unmeasured Cross-Sections of Small Streams in Korea.

Autori: Cheong, Tae-Sung Kim, Seojun Koo, Kang-Min

Zdroj: Water (20734441); May2025, Vol. 17 Issue 10, p1467, 22p

Predmety: FLOOD warning systems, OPTIMIZATION algorithms, FLOOD forecasting, EMERGENCY management, RAINFALL

Design Optimization of Hydraulic Machinery Based on ISIGHT Software: A Review of Methods and Applications.

Autori: Tian, Fei Yang, Chen Zhang, Erfeng a ďalší

Zdroj: Water (20734441); Jun2023, Vol. 15 Issue 11, p2100, 15p

Predmety: OPTIMIZATION algorithms, MACHINE performance, TECHNOLOGICAL innovations, TEXTILE machinery, COMBINATORIAL optimization, FLUID mechanics, HYDRAULIC machinery

Pipeline Leak Identification and Prediction of Urban Water Supply Network System with Deep Learning Artificial Neural Network.

Autori: Xi, Fei Liu, Luyi Shan, Liyu a ďalší

Zdroj: Water (20734441); Oct2024, Vol. 16 Issue 20, p2903, 17p

Predmety: ARTIFICIAL neural networks, OPTIMIZATION algorithms, MUNICIPAL water supply, LEAK detection, SEARCH algorithms, DEEP learning, WATER pipelines