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
Book:
Lecture Notes in Computer Science
(Advances in Soft Computing)
Volume 10062
(2017),
p. 388
Application of Mathematical Modeling to Optimal Design of Biosensors
Romas Baronas, Feliksas Ivanauskas, Juozas Kulys
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
Book:
SpringerBriefs in Optimization
(Simplicial Global Optimization)
(2014),
p. 87
Visualization of a Set of Pareto Optimal Decisions
Panos M. Pardalos, Antanas Žilinskas, Julius Žilinskas
Book:
Springer Optimization and Its Applications
(Non-Convex Multi-Objective Optimization)
Volume 123
(2017),
p. 139
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
Book:
Advances in Intelligent Systems and Computing
(Software Engineering)
Volume 731
(2019),
p. 17
On the Least-Squares Fitting of Data by Sinusoids
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov
Book:
Springer Optimization and Its Applications
(Advances in Stochastic and Deterministic Global Optimization)
Volume 107
(2016),
p. 209
International Workshop of "Stochastic Programming for Implementation and Advanced Applications"
Conference:
(2012),
p. 136
A Rule-Based Method to Locate the Bounds of Neural Networks
Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis
Journal:
Knowledge
Volume 2,
Issue 3
(2022),
p. 412
A deterministic global optimization using smooth diagonal auxiliary functions
Yaroslav D. Sergeyev, Dmitri E. Kvasov
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
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
Journal:
Soft Computing
Volume 24,
Issue 23
(2020),
p. 17601
An isotonic trivariate statistical regression method
Journal:
Advances in Data Analysis and Classification
Volume 7,
Issue 2
(2013),
p. 209
Decoupling linear and nonlinear regimes: an evaluation of efficiency for nonlinear multidimensional optimization
Christopher M. Cotnoir, Balša Terzić
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
Journal:
Communications in Nonlinear Science and Numerical Simulation
Volume 23,
Issue 1-3
(2015),
p. 328
Locate the Bounding Box of Neural Networks with Intervals
Nikolaos Anastasopoulos, Ioannis G. Tsoulos, Evangelos Karvounis, Alexandros Tzallas
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
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
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
Journal:
Applied Mathematics and Computation
Volume 218,
Issue 16
(2012),
p. 8131
Optimal design of amperometric biosensors applying multi-objective optimization and decision visualization
Romas Baronas, Antanas Žilinskas, Linas Litvinas
Journal:
Electrochimica Acta
Volume 211
(2016),
p. 586
Optimization of the multianalyte determination with biased biosensor response
Romas Baronas, Juozas Kulys, Antanas Žilinskas, Algirdas Lančinskas, Darius Baronas
Journal:
Chemometrics and Intelligent Laboratory Systems
Volume 126
(2013),
p. 108
Optimizing Energy Consumption of Industrial Robots with Model-Based Layout Design
Silviu Răileanu, Theodor Borangiu, Ionuț Lențoiu, Mihnea Constantinescu
Journal:
Sustainability
Volume 16,
Issue 3
(2024),
p. 1053
Safe global optimization of expensive noisy black-box functions in the $$\delta $$-Lipschitz framework
Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego
Journal:
Soft Computing
Volume 24,
Issue 23
(2020),
p. 17715
Single-tape and multi-tape Turing machines through the lens of the Grossone methodology
Yaroslav D. Sergeyev, Alfredo Garro
Journal:
The Journal of Supercomputing
Volume 65,
Issue 2
(2013),
p. 645
Stochastic algorithms for solving structured low-rank matrix approximation problems
J.W. Gillard, A.A. Zhigljavsky
Journal:
Communications in Nonlinear Science and Numerical Simulation
Volume 21,
Issue 1-3
(2015),
p. 70
Visualization of multi-objective decisions for the optimal design of a pressure swing adsorption system
Antanas Žilinskas, Eric S. Fraga, Joakim Beck, Audrius Varoneckas
Journal:
Chemometrics and Intelligent Laboratory Systems
Volume 142
(2015),
p. 151