Nome |
# |
Globally convergent hybridization of particle
swarm optimization using line search-based
derivative-free techniques, file e4239ddb-3cf2-7180-e053-3705fe0a3322
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693
|
Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems, file e4239ddc-2f7f-7180-e053-3705fe0a3322
|
582
|
Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms, file e4239ddb-f760-7180-e053-3705fe0a3322
|
580
|
Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming, file e4239ddc-8479-7180-e053-3705fe0a3322
|
460
|
Novel Quasi–Newton updates for Preconditioned Nonlinear Conjugate Gradient methods, file e4239ddb-e230-7180-e053-3705fe0a3322
|
408
|
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization, file e4239ddc-8558-7180-e053-3705fe0a3322
|
408
|
Comparison between Deterministic and Stochastic formulations of Particle Swarm Optimization, for Multidisciplinary Design Optimization, file e4239ddb-57b9-7180-e053-3705fe0a3322
|
374
|
A Framework of Conjugate Direction Methods for Symmetric Linear Systems in Optimization, file e4239ddb-d75f-7180-e053-3705fe0a3322
|
366
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Application of derivative-free multi-objective algorithms to reliability-based robust design optimization of a high-speed catamaran in real ocean environment, file e4239ddb-d3a5-7180-e053-3705fe0a3322
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348
|
Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation, file e4239ddc-7257-7180-e053-3705fe0a3322
|
342
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Quasi-Newton-Based Preconditioning and Damped Quasi-Newton Schemes for Nonlinear Conjugate Gradient Methods, file e4239ddc-ba82-7180-e053-3705fe0a3322
|
337
|
Conjugate Direction Methods and Polarity for Quadratic Hypersurfaces, file e4239ddc-6c02-7180-e053-3705fe0a3322
|
317
|
Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit, file e4239ddc-368d-7180-e053-3705fe0a3322
|
316
|
Global Optimization Algorithms in Multidisciplinary DesignOptimization, file e4239ddb-336f-7180-e053-3705fe0a3322
|
311
|
Exploiting damped techniques for nonlinear conjugate gradient methods, file e4239ddc-8007-7180-e053-3705fe0a3322
|
305
|
How grossone can be helpful to iteratively compute negative curvature directions, file e4239ddd-17b1-7180-e053-3705fe0a3322
|
299
|
A proposal of PSO particles' initialization, for costly unconstrained optimization problems: ORTHOinit, file e4239ddb-3cee-7180-e053-3705fe0a3322
|
296
|
Data and performance profiles applying an adaptive truncation criterion, within linesearch-based truncated Newton methods, in large scale nonconvex optimization, file e4239ddc-82e9-7180-e053-3705fe0a3322
|
292
|
On the use of Synchronous and Asynchronous Single-objective Deterministic Particle Swarm Optimization in Ship Design Problems, file e4239ddb-3cf1-7180-e053-3705fe0a3322
|
290
|
Hydroelastic optimization of a keel fin of a sailing boat: a multidisciplinary robust formulation for ship design, file e4239ddb-48f3-7180-e053-3705fe0a3322
|
289
|
A Linesearch-based Derivative-free Approach for Nonsmooth Constrained Optimization, file e4239ddb-3cef-7180-e053-3705fe0a3322
|
283
|
Preconditioning Newton-Krylov Methods in Non-Convex Large Scale Optimization, file e4239ddb-34e3-7180-e053-3705fe0a3322
|
274
|
Initial Particles Position for PSO, in Bound Constrained Optimization, file e4239ddb-5626-7180-e053-3705fe0a3322
|
257
|
A new model for estimating the probability of information spreading with opinion leaders, file e4239ddb-4550-7180-e053-3705fe0a3322
|
225
|
Preconditioning Strategies for Nonlinear Conjugate Gradient Methods, Based on Quasi-Newton Updates, file e4239ddc-2f15-7180-e053-3705fe0a3322
|
222
|
A class of preconditioners for large indefinite linear systems, as by-product of Krylov subspace methods: Part I, file e4239ddb-308c-7180-e053-3705fe0a3322
|
214
|
A Class of Preconditioners for Large Indefinite Linear Systems, as by-product of Krylov subspace Methods: Part II, file e4239ddb-308d-7180-e053-3705fe0a3322
|
204
|
Polarity for Quadratic Hypersurfaces and Conjugate Gradient Method: Relation between Degenerate and Nondegenerate Cases, file e4239ddc-2f83-7180-e053-3705fe0a3322
|
203
|
Preconditioning Large Indefinite Linear Systems, file e4239ddb-30cb-7180-e053-3705fe0a3322
|
194
|
Planar-CG methods and Matrix Tridiagonalization in Large scale Unconstrained Optimization, file e4239ddb-6e64-7180-e053-3705fe0a3322
|
192
|
From regression models to Machine Learning approaches for long term Bitcoin price forecast, file 12586173-0b8a-401f-a0e3-c6e7e5797463
|
173
|
Chapter 8: Effects of Low and High Fidelity Solvers on Hull form Optimization, In: Assessing the Ability to Optimize Hull Forms of Sea Vehicles for Best Performance in Sea Environment, file e4239ddc-4aa9-7180-e053-3705fe0a3322
|
173
|
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization, file e4239ddd-bb8a-7180-e053-3705fe0a3322
|
167
|
Exploiting damped techniques for nonlinear conjugate gradient methods, file e4239ddc-8482-7180-e053-3705fe0a3322
|
166
|
Initial particles position for PSO, in Bound Constrained Optimization, file e4239ddb-57ab-7180-e053-3705fe0a3322
|
144
|
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton’s equation, file e4239ddd-ef7f-7180-e053-3705fe0a3322
|
141
|
Penalty Function approaches for Ship Multidisciplinary Design Optimization (MDO), file e4239ddb-6154-7180-e053-3705fe0a3322
|
139
|
A framework of conjugate direction methods for symmetric linear systems in optimization, file e4239ddb-3bf2-7180-e053-3705fe0a3322
|
134
|
Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+, file e4239dde-577a-7180-e053-3705fe0a3322
|
122
|
Quasi–Newton updates for Preconditioned Nonlinear
Conjugate Gradient methods, file e4239ddb-438d-7180-e053-3705fe0a3322
|
102
|
Derivative-free global design optimization in ship hydrodynamics by local hybridization, file e4239ddb-ef32-7180-e053-3705fe0a3322
|
94
|
An application of Linear Programming to sociophysics models, file e4239ddd-fc2a-7180-e053-3705fe0a3322
|
84
|
Data Analytics and Machine Learning paradigm to gauge performances combining classification, ranking and sorting for system analysis, file e4239dde-4f9c-7180-e053-3705fe0a3322
|
68
|
A comparison among Reinforcement Learning algorithms in financial trading systems, file e4239dde-93f0-7180-e053-3705fe0a3322
|
60
|
Properties of some generalized means for positive sequences, file e4239dde-96e0-7180-e053-3705fe0a3322
|
51
|
A Modified Galam's Model, file e4239ddb-4f1f-7180-e053-3705fe0a3322
|
49
|
An estimation of the condition number for a class of indefinite preconditioned matrices, file e4239ddb-3682-7180-e053-3705fe0a3322
|
47
|
Price Forecasting for Bitcoin: Linear Regression and SVM approaches, file 5381cc9d-cac4-4f42-b255-5ec474886abf
|
44
|
An Artificial Neural Network technique for on-line hotel booking, file e4239dde-9bff-7180-e053-3705fe0a3322
|
42
|
A Linesearch-based Derivative-free Approach for Nonsmooth Optimization, file e4239ddb-57b8-7180-e053-3705fe0a3322
|
40
|
PSO-based tuning of MURAME parameters for creditworthiness evaluation of Italian SMEs, file e4239dde-93e8-7180-e053-3705fe0a3322
|
38
|
Uso delle Direzioni Coniugate negli algoritmi per l'Ottimizzazione Non Vincolata a grande dimensione, file e4239ddb-faee-7180-e053-3705fe0a3322
|
27
|
Bridging the gap between Trust–Region Methods (TRMs) and Linesearch Based
Methods (LBMs) for Nonlinear Programming: quadratic sub–problems, file 2796bd7c-4236-479c-a466-bace013a28dc
|
21
|
Mathematical Programming for the Dynamics of Opinion Diffusion, file 5583de61-1bdb-47f2-8886-3d871ce42453
|
21
|
Exploiting effective negative curvature directions via SYMMBK algorithm, in Newton-Krylov methods, file 203c85ec-6e46-4a1a-bbef-4ece274f0f5f
|
19
|
An Improvement of the Pivoting Strategy in the Bunch and Kaufman Decomposition, Within Truncated Newton Methods, file e68e6d42-6459-4767-a046-30e75d698d9c
|
17
|
On the use of the SYMMBK algorithm for computing negative curvature directions within Newton-Krylov methods, file 3309b3c9-858e-4a5c-8d47-86856e27b8bf
|
14
|
MATHEMATICAL METHODS IN ECONOMICS AND FINANCE, Editor of and Member of the Editorial Board of, file e4239dde-9458-7180-e053-3705fe0a3322
|
14
|
Krylov-Subspace Methods for Quadratic Hypersurfaces: A Grossone–based Perspective, file c2affdb1-f5f1-444d-a129-85bb1313c867
|
12
|
MATHEMATICAL METHODS IN ECONOMICS AND FINANCE, Member of the Editorial Board of, file e4239dde-911c-7180-e053-3705fe0a3322
|
11
|
Comparing RL approaches for applications to financial trading systems, file e4239dde-9834-7180-e053-3705fe0a3322
|
6
|
A novel hybrid PSO-based metaheuristic for costly portfolio selection problems, file e4239dde-9840-7180-e053-3705fe0a3322
|
6
|
Misurare le Prestazioni al Tempo del Machine Learning, file 4b92aa5c-01a6-4a0f-b394-56481c4c071e
|
5
|
Stochastic model of agent interaction with opinion leaders, file e4239ddb-41f2-7180-e053-3705fe0a3322
|
3
|
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization, file e4239ddc-1c24-7180-e053-3705fe0a3322
|
3
|
MURAME parameter setting for creditworthiness evaluation: data-driven optimization, file e4239dde-983b-7180-e053-3705fe0a3322
|
2
|
Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization, file e4239ddb-4ecd-7180-e053-3705fe0a3322
|
1
|
Bitcoin price prediction: Mixed Integer Quadratic Programming versus Machine Learning approaches, file e4239dde-9378-7180-e053-3705fe0a3322
|
1
|
A PSO-based framework for nonsmooth portfolio selection problems, file e4239dde-945d-7180-e053-3705fe0a3322
|
1
|
Portfolio selection with an alternative measure of risk: Computational performances of Particle Swarm Optimization and Genetic Algorithms, file e4239dde-9755-7180-e053-3705fe0a3322
|
1
|
Totale |
12.144 |