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Antanas Zilinskas
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2020 – today
- 2021
- [j48]Antanas Zilinskas
, Jonathan Gillard, Megan Scammell, Anatoly Zhigljavsky:
Multistart with early termination of descents. J. Glob. Optim. 79(2): 447-462 (2021) - [j47]Antanas Zilinskas
Review on the SpriengerBriefs monograph "deterministic global optimization: an introduction to the diagonal approach". Optim. Lett. 15(1): 287-288 (2021) - 2020
- [j46]James M. Calvin
On efficiency of a single variable bi-objective optimization algorithm. Optim. Lett. 14(1): 259-267 (2020) - [j45]Antanas Zilinskas
A hybrid of the simplicial partition-based Bayesian global search with the local descent. Soft Comput. 24(23): 17601-17608 (2020)
2010 – 2019
- 2019
- [j44]Antanas Zilinskas
A hybrid of Bayesian approach based global search with clustering aided local refinement. Commun. Nonlinear Sci. Numer. Simul. 78: 104857 (2019) - [j43]Antanas Zilinskas
Bi-objective decision making in global optimization based on statistical models. J. Glob. Optim. 74(4): 599-609 (2019) - [j42]Anatoly Zhigljavsky, Antanas Zilinskas
Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems. Optim. Lett. 13(2): 249-259 (2019) - [c13]Antanas Zilinskas
A Partition Based Bayesian Multi-objective Optimization Algorithm. NUMTA (2) 2019: 511-518 - 2018
- [j41]Audrone Jakaitiene
Analysis of Education Systems Performance in European Countries by Means of PCA-DEA. Informatics Educ. 17(2): 245-263 (2018) - [j40]Andrey Pepelyshev
Performance of global random search algorithms for large dimensions. J. Glob. Optim. 71(1): 57-71 (2018) - [j39]Albertas Gimbutas, Antanas Zilinskas
An algorithm of simplicial Lipschitz optimization with the bi-criteria selection of simplices for the bi-section. J. Glob. Optim. 71(1): 115-127 (2018) - [j38]James M. Calvin
On convergence rate of a rectangular partition based global optimization algorithm. J. Glob. Optim. 71(1): 165-191 (2018) - 2017
- [c12]Linas Litvinas, Romas Baronas, Antanas Zilinskas:
Application Of Two Phase Multi-Objective Optimization To Design Of Biosensors Utilizing Cyclic Substrate Conversion. ECMS 2017: 469-474 - 2016
- [j37]Antanas Zilinskas, Grazina Gimbutiene:
On one-step worst-case optimal trisection in univariate bi-objective Lipschitz optimization. Commun. Nonlinear Sci. Numer. Simul. 35: 123-136 (2016) - [j36]Antanas Zilinskas, Anatoly Zhigljavsky:
Stochastic Global Optimization: A Review on the Occasion of 25 Years of Informatica. Informatica 27(2): 229-256 (2016) - [j35]Antanas Zilinskas, Anatoly Zhigljavsky
Branch and probability bound methods in multi-objective optimization. Optim. Lett. 10(2): 341-353 (2016) - 2015
- [j34]Antanas Zilinskas, Audrius Varoneckas:
On multi-objective optimization aided drawing of special graphs. Appl. Math. Comput. 255: 105-113 (2015) - [j33]Antanas Zilinskas
Visualization of a statistical approximation of the Pareto front. Appl. Math. Comput. 271: 694-700 (2015) - [j32]Antanas Zilinskas, Julius Zilinskas:
Adaptation of a one-step worst-case optimal univariate algorithm of bi-objective Lipschitz optimization to multidimensional problems. Commun. Nonlinear Sci. Numer. Simul. 21(1-3): 89-98 (2015) - 2014
- [j31]Antanas Zilinskas:
A statistical model-based algorithm for 'black-box' multi-objective optimisation. Int. J. Syst. Sci. 45(1): 82-93 (2014) - [j30]James M. Calvin
On a Global Optimization Algorithm for Bivariate Smooth Functions. J. Optim. Theory Appl. 163(2): 528-547 (2014) - [j29]Antanas Zilinskas:
A one-step worst-case optimal algorithm for bi-objective univariate optimization. Optim. Lett. 8(7): 1945-1960 (2014) - [j28]Romas Baronas, Juozas Kulys, Algirdas Lancinskas
Effect of Diffusion Limitations on Multianalyte Determination from Biased Biosensor Response. Sensors 14(3): 4634-4656 (2014) - 2013
- [j27]Antanas Zilinskas, Julius Zilinskas:
A hybrid global optimization algorithm for non-linear least squares regression. J. Glob. Optim. 56(2): 265-277 (2013) - [j26]Antanas Zilinskas:
On the worst-case optimal multi-objective global optimization. Optim. Lett. 7(8): 1921-1928 (2013) - [c11]Antanas Zilinskas:
On Two Approaches to Constructing Optimal Algorithms for Multi-objective Optimization. ICIST 2013: 236-248 - 2012
- [j25]Antanas Zilinskas:
On strong homogeneity of two global optimization algorithms based on statistical models of multimodal objective functions. Appl. Math. Comput. 218(16): 8131-8136 (2012) - [j24]James M. Calvin
An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate for Twice Continuously Differentiable Functions. J. Optim. Theory Appl. 155(2): 628-636 (2012) - [j23]Panos M. Pardalos, Ingrida Steponavice
Pareto set approximation by the method of adjustable weights and successive lexicographic goal programming. Optim. Lett. 6(4): 665-678 (2012) - [c10]Vytautas Jancauskas, Giedrius Kaukas, Antanas Zilinskas, Julius Zilinskas:
On Multi-Objective Optimization Aided Visualization of Graphs Related to Business Process Diagrams. DB&Local Proceedings 2012: 71-80 - [c9]Mindaugas Liogys, Antanas Zilinskas:
A Variable Neighbourhood Search Enhancement for the Shift Sequence Based Method of the Personal Scheduling in Hospitals. ICIST 2012: 15-23 - [c8]Vytautas Jancauskas, Ausra Mackute-Varoneckiene, Audrius Varoneckas, Antanas Zilinskas:
On the Multi-objective Optimization Aided Drawing of Connectors for Graphs Related to Business Process Management. ICIST 2012: 87-100 - 2011
- [j22]Antanas Zilinskas, Darius Baronas:
Optimization-Based Evaluation of Concentrations in Modeling the Biosensor-Aided Measurement. Informatica 22(4): 589-600 (2011) - [i1]Antanas Zilinskas:
On strong homogeneity of two global optimization algorithms based on statistical models of multimodal objective functions. CoRR abs/1108.1042 (2011) - 2010
- [j21]Antanas Zilinskas, Julius Zilinskas:
Interval Arithmetic Based Optimization in Nonlinear Regression. Informatica 21(1): 149-158 (2010) - [j20]Antanas Zilinskas:
On similarities between two models of global optimization: statistical models and radial basis functions. J. Glob. Optim. 48(1): 173-182 (2010) - [c7]Audrone Jakaitiene
Dynamic stochastic optimisation using endogenous gridpoints for consumption in Lithuania. CompSysTech 2010: 275-280
2000 – 2009
- 2009
- [j19]Antanas Zilinskas, Julius Zilinskas:
Branch and bound algorithm for multidimensional scaling with city-block metric. J. Glob. Optim. 43(2-3): 357-372 (2009) - [c6]Ausra Mackute-Varoneckiene, Antanas Zilinskas, Audrius Varoneckas:
Multidimensional scaling: multi-objective optimization approach. CompSysTech 2009: 60 - [r2]Antanas Zilinskas:
Global Optimization Based on Statistical Models. Encyclopedia of Optimization 2009: 1291-1294 - [r1]Antanas Zilinskas, Julius Zilinskas:
Optimization-Based Visualization. Encyclopedia of Optimization 2009: 2785-2791 - 2008
- [b2]Anatoly A. Zhigljavsky, Antanas Zilinskas:
Stochastic Global Optimization. Optimization and its applications 1, Springer 2008, ISBN 978-0-387-74022-5, pp. I-IX, 1-262 - [j18]Ingrida Radziukyniene, Antanas Zilinskas:
Comparison of several Methods for Pareto Set Generation in Multi-criteria portfolio Optimization. Int. J. Comput. 7(3): 22-29 (2008) - [j17]Tomas Krilavicius, Antanas Zilinskas:
On Structural Analysis of Parliamentarian Voting Data. Informatica 19(3): 377-390 (2008) - [j16]Antanas Zilinskas, Julius Zilinskas:
A hybrid method for multidimensional scaling using city-block distances. Math. Methods Oper. Res. 68(3): 429-443 (2008) - [c5]Ingrida Radziukyniene, Antanas Zilinskas:
Approximation of Pareto Set in Multi Objective Portfolio Optimization. World Congress on Engineering (Selected Papers) 2008: 551-562 - 2007
- [j15]Antanas Zilinskas, Julius Zilinskas:
Two level minimization in multidimensional scaling. J. Glob. Optim. 38(4): 581-596 (2007) - [c4]Antanas Zilinskas, Ausra Mackute-Varoneckiene:
On search for optimal control in a problem of bio technology. CompSysTech 2007: 27 - [c3]Antanas Zilinskas, Julius Zilinskas:
Parallel genetic algorithm: assessment of performance in multidimensional scaling. GECCO 2007: 1492-1501 - 2006
- [j14]Antanas Zilinskas, Eric S. Fraga
Data analysis and visualisation for robust multi-criteria process optimisation. Comput. Chem. Eng. 30(6-7): 1061-1071 (2006) - [j13]Antanas Zilinskas, Julius Zilinskas:
Parallel hybrid algorithm for global optimization of problems occurring in MDS-based visualization. Comput. Math. Appl. 52(1-2): 211-224 (2006) - 2004
- [j12]Antanas Zilinskas:
Book review. Optim. Methods Softw. 19(2): 245-246 (2004) - [c2]Antanas Zilinskas, Darius Kucinskas:
Implementation and testing of an algorithm for global optimizations with noise. CompSysTech 2004: 1-6 - [c1]Antanas Zilinskas, Julius Zilinskas:
On Efficiency of Tightening Bounds in Interval Global Optimization. PARA 2004: 197-205 - 2003
- [j11]Antanas Zilinskas, Aurelija Podlipskyte:
On Multimodality of the SSTRESS Criterion for Metric Multidimensional Scaling. Informatica 14(1): 121-130 (2003) - 2001
- [j10]James M. Calvin
On Convergence of a P-Algorithm Based on a Statistical Model of Continuously Differentiable Functions. J. Glob. Optim. 19(3): 229-245 (2001) - 2000
- [j9]Benjamin Lev
Book Reviews. Interfaces 30(1): 134-140 (2000) - [j8]Benjamin Lev
Book Reviews. Interfaces 30(4): 94-105 (2000) - [j7]Benjamin Lev
Book Reviews. Interfaces 30(6): 107-115 (2000)
1990 – 1999
- 1999
- [j6]Laimutis Telksnys, Antanas Zilinskas:
Computers in Lithuania. IEEE Ann. Hist. Comput. 21(3): 31-37 (1999) - 1994
- [j5]Rudolf Mathar, Antanas Zilinskas:
A class of test functions for global optimization. J. Glob. Optim. 5(2): 195-199 (1994) - 1992
- [j4]Antanas Zilinskas:
A review of statistical models for global optimization. J. Glob. Optim. 2(2): 145-153 (1992)
1980 – 1989
- 1989
- [b1]Aimo A. Törn, Antanas Zilinskas:
Global Optimization. Lecture Notes in Computer Science 350, Springer 1989, ISBN 3-540-50871-6 - [j3]Antanas Zilinskas:
A note on "Extended univariate algorithms" by J. Pinter. Computing 41(3): 275-276 (1989) - 1984
- [j2]Antanas Zilinskas:
On justification of use of stochastic functions for multimodal optimization models. Ann. Oper. Res. 1(2): 129-134 (1984) - 1982
- [j1]Antanas Zilinskas:
Axiomatic approach to statistical models and their use in multimodal optimization theory. Math. Program. 22(1): 104-116 (1982)
Coauthor Index
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