Interval Arithmetic Based Optimization in Nonlinear Regression

doi:10.15388/Informatica.2010.279

A Rule-Based Method to Locate the Bounds of Neural Networks

Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis

https://doi.org/10.3390/knowledge2030024

Journal Knowledge Volume 2, Issue 3 (2022), p. 412

A deterministic global optimization using smooth diagonal auxiliary functions

Yaroslav D. Sergeyev, Dmitri E. Kvasov

https://doi.org/10.1016/j.cnsns.2014.08.026

Journal Communications in Nonlinear Science and Numerical Simulation Volume 21, Issue 1-3 (2015), p. 99

A hybrid global optimization algorithm for non-linear least squares regression

Antanas Žilinskas, Julius Žilinskas

https://doi.org/10.1007/s10898-011-9840-9

Journal Journal of Global Optimization Volume 56, Issue 2 (2013), p. 265

A hybrid of the simplicial partition-based Bayesian global search with the local descent

Antanas Žilinskas, Linas Litvinas

https://doi.org/10.1007/s00500-020-05095-0

Journal Soft Computing Volume 24, Issue 23 (2020), p. 17601

ABC-PSO: An Efficient Bioinspired Metaheuristic for Parameter Estimation in Nonlinear Regression

Sergio Gerardo de-los-Cobos-Silva, Miguel Ángel Gutiérrez Andrade, Pedro Lara-Velázquez, Eric Alfredo Rincón García, Roman Anselmo Mora-Gutiérrez, Antonin Ponsich

https://doi.org/10.1007/978-3-319-62428-0_31

Book Lecture Notes in Computer Science (Advances in Soft Computing) Volume 10062 (2017), p. 388

An isotonic trivariate statistical regression method

Simone Fiori

https://doi.org/10.1007/s11634-013-0131-9

Journal Advances in Data Analysis and Classification Volume 7, Issue 2 (2013), p. 209

Application of Mathematical Modeling to Optimal Design of Biosensors

Romas Baronas, Feliksas Ivanauskas, Juozas Kulys

https://doi.org/10.1007/978-3-030-65505-1_13

Book Springer Series on Chemical Sensors and Biosensors (Mathematical Modeling of Biosensors) Volume 9 (2021), p. 405

Applications of Global Optimization Benefiting from Simplicial Partitions

Remigijus Paulavičius, Julius Žilinskas

https://doi.org/10.1007/978-1-4614-9093-7_4

Book SpringerBriefs in Optimization (Simplicial Global Optimization) (2014), p. 87

Decoupling linear and nonlinear regimes: an evaluation of efficiency for nonlinear multidimensional optimization

Christopher M. Cotnoir, Balša Terzić

https://doi.org/10.1007/s10898-016-0480-y

Journal Journal of Global Optimization Volume 68, Issue 3 (2017), p. 663

Deterministic global optimization using space-filling curves and multiple estimates of Lipschitz and Hölder constants

Daniela Lera, Yaroslav D. Sergeyev

https://doi.org/10.1016/j.cnsns.2014.11.015

Journal Communications in Nonlinear Science and Numerical Simulation Volume 23, Issue 1-3 (2015), p. 328

Implementation of Equivalence of Deterministic Finite-State Automation and Non-deterministic Finite-State Automaton in Acceptance of Type 3 Languages Using Programming Code

Rinku, Chetan Sharma, Ajay Kumar Rangra, Manish Kumar, Aman Madaan

https://doi.org/10.1007/978-981-10-8848-3_2

Book Advances in Intelligent Systems and Computing (Software Engineering) Volume 731 (2019), p. 17

International Workshop of "Stochastic Programming for Implementation and Advanced Applications"

Antanas Žilinskas

https://doi.org/10.5200/stoprog.2012.24

Conference (2012), p. 136

Locate the Bounding Box of Neural Networks with Intervals

Nikolaos Anastasopoulos, Ioannis G. Tsoulos, Evangelos Karvounis, Alexandros Tzallas

https://doi.org/10.1007/s11063-020-10347-z

Journal Neural Processing Letters Volume 52, Issue 3 (2020), p. 2241

Locating the Parameters of RBF Networks Using a Hybrid Particle Swarm Optimization Method

Ioannis G. Tsoulos, Vasileios Charilogis

https://doi.org/10.3390/a16020071

Journal Algorithms Volume 16, Issue 2 (2023), p. 71

Modeling and Dynamical Analysis of the Water Resources Supply-Demand System: A Case Study in Haihe River Basin

Chongli Di, Xiaohua Yang

https://doi.org/10.1155/2014/171793

Journal Journal of Applied Mathematics Volume 2014 (2014), p. 1

On strong homogeneity of two global optimization algorithms based on statistical models of multimodal objective functions

Antanas Žilinskas

https://doi.org/10.1016/j.amc.2011.07.051

Journal Applied Mathematics and Computation Volume 218, Issue 16 (2012), p. 8131

On the Least-Squares Fitting of Data by Sinusoids

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https://doi.org/10.1007/978-3-319-29975-4_11

Book Springer Optimization and Its Applications (Advances in Stochastic and Deterministic Global Optimization) Volume 107 (2016), p. 209

Optimal design of amperometric biosensors applying multi-objective optimization and decision visualization

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Journal Electrochimica Acta Volume 211 (2016), p. 586

Optimization of the multianalyte determination with biased biosensor response

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Journal Chemometrics and Intelligent Laboratory Systems Volume 126 (2013), p. 108

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Journal Sustainability Volume 16, Issue 3 (2024), p. 1053

PERMMA: Enhancing parameter estimation of software reliability growth models: A comparative analysis of metaheuristic optimization algorithms

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Journal PLOS ONE Volume 19, Issue 9 (2024), p. e0304055

Safe global optimization of expensive noisy black-box functions in the $$\delta $$-Lipschitz framework

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Journal Soft Computing Volume 24, Issue 23 (2020), p. 17715

Single-tape and multi-tape Turing machines through the lens of the Grossone methodology

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Stochastic algorithms for solving structured low-rank matrix approximation problems

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Book Springer Optimization and Its Applications (Non-Convex Multi-Objective Optimization) Volume 123 (2017), p. 139

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Journal Chemometrics and Intelligent Laboratory Systems Volume 142 (2015), p. 151

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