Julius Zilinskas

68 papers A 1Journal 44Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Heteroscedastic Bayesian optimization using generalized product of experts.
J. Glob. Optim.
Saulius Tautvaisas, Julius Zilinskas
2025 J jnl
Population-based algorithm for discrete facility location with ranking of candidate locations.
J. Comput. Appl. Math.
Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín
2024 J jnl
Preface.
J. Glob. Optim.
Ilias S. Kotsireas, Panos M. Pardalos, Julius Zilinskas
2024 J jnl
Scalable Bayesian optimization with generalized product of experts.
J. Glob. Optim.
Saulius Tautvaisas, Julius Zilinskas
2023 J jnl
A discrete competitive facility location model with proportional and binary rules sequentially applied.
Optim. Lett.
Pascual Fernández, Algirdas Lancinskas, Blas Pelegrín, Julius Zilinskas
2021 J jnl
Exact and heuristic solutions of a discrete competitive location model with Pareto-Huff customer choice rule.
J. Comput. Appl. Math.
Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas
2021 — conf
ILSA Data Analysis with R Packages.
MCO
Laura Ringiene, Julius Zilinskas, Audrone Jakaitiene
2021 J jnl
On MATLAB experience in accelerating DIRECT-GLce algorithm for constrained global optimization through dynamic data structures and parallelization.
Appl. Math. Comput.
Linas Stripinis, Julius Zilinskas, Leocadio G. Casado, Remigijus Paulavicius
2020 J jnl
A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule.
Informatica
Pascual Fernández, Algirdas Lancinskas, Blas Pelegrín, Julius Zilinskas
2020 J jnl
Global optimization of grillage-type foundations using a distributed genetic algorithm.
J. Glob. Optim.
Mikalojus Ramanauskas, Dmitrij Sesok, Julius Zilinskas, Vadimas Starikovicius, Arnas Kaceniauskas, Rimantas Belevicius
2020 J jnl
Globally-biased BIRECT algorithm with local accelerators for expensive global optimization.
Expert Syst. Appl.
Remigijus Paulavicius, Yaroslav D. Sergeyev, Dmitri E. Kvasov, Julius Zilinskas
2020 J jnl
Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations.
Soft Comput.
Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín
2019 — conf
Ranking-based discrete optimization algorithm for asymmetric competitive facility location.
GECCO (Companion)
Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín
2018 J jnl
Global optimization based on bisection of rectangles, function values at diagonals, and a set of Lipschitz constants.
J. Glob. Optim.
Remigijus Paulavicius, Lakhdar Chiter, Julius Zilinskas
2018 J jnl
Improved scheme for selection of potentially optimal hyper-rectangles in DIRECT.
Optim. Lett.
Linas Stripinis, Remigijus Paulavicius, Julius Zilinskas
2018 — conf
The Huff Versus the Pareto-Huff Customer Choice Rules in a Discrete Competitive Location Model.
ICCSA (2)
Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas
2017 J jnl
A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search.
Central Eur. J. Oper. Res.
Ernestas Filatovas, Algirdas Lancinskas, Olga Kurasova, Julius Zilinskas
2017 J jnl
Application of Reduced-set Pareto-Lipschitzian Optimization to truss optimization.
J. Glob. Optim.
Jonas Mockus, Remigijus Paulavicius, Dainius Rusakevicius, Dmitrij Sesok, Julius Zilinskas
2017 J jnl
Improving solution of discrete competitive facility location problems.
Optim. Lett.
Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas
2017 J jnl
New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior.
Comput. Oper. Res.
Pascual Fernández, Blas Pelegrín, Algirdas Lancinskas, Julius Zilinskas
2017 J jnl
On the accuracy of some absorbing boundary conditions for the Schrodinger equation.
Math. Model. Anal.
Andrej Bugajev, Raimondas Ciegis, Rima Kriauziene, Terese Leonaviciene, Julius Zilinskas
2016 — book
Advances in Stochastic and Deterministic Global Optimization.
Panos M. Pardalos, Anatoly Zhigljavsky, Julius Zilinskas
2016 J jnl
Advantages of simplicial partitioning for Lipschitz optimization problems with linear constraints.
Optim. Lett.
Remigijus Paulavicius, Julius Zilinskas
2016 — ch.
Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem.
Advances in Stochastic and Deterministic Global Optimization
Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas
2016 J jnl
HeteroPar 2014, APCIE 2014, and TASUS 2014 Special Issue.
Concurr. Comput. Pract. Exp.
Jesús Carretero, Raimondas Ciegis, Emmanuel Jeannot, Laurent Lefèvre, Gudula Rünger, Domenico Talia, Julius Zilinskas
2016 J jnl
Solution of Discrete Competitive Facility Location Problem for Firm Expansion.
Informatica
Algirdas Lancinskas, Pascual Fernández, Blas Pelegrín, Julius Zilinskas
2015 J jnl
Adaptation of a one-step worst-case optimal univariate algorithm of bi-objective Lipschitz optimization to multidimensional problems.
Commun. Nonlinear Sci. Numer. Simul.
Antanas Zilinskas, Julius Zilinskas
2015 J jnl
Pareto-optimal front of cell formation problem in group technology.
J. Glob. Optim.
Julius Zilinskas, Boris Goldengorin, Panos M. Pardalos
2014 — ed.
Euro-Par 2014: Parallel Processing Workshops - Euro-Par 2014 International Workshops, Porto, Portugal, August 25-26, 2014, Revised Selected Papers, Part I
Euro-Par Workshops (1)
Luís M. B. Lopes, Julius Zilinskas, Alexandru Costan, Roberto G. Cascella, Gabor Kecskemeti, Emmanuel Jeannot, Mario Cannataro, Laura Ricci, Siegfried Benkner, Salvador Petit, Vittorio Scarano, José Gracia, Sascha Hunold, Stephen L. Scott, Stefan Lankes, Christian Lengauer, Jesús Carretero, Jens Breitbart, Michael Alexander
2014 — ed.
Euro-Par 2014: Parallel Processing Workshops - Euro-Par 2014 International Workshops, Porto, Portugal, August 25-26, 2014, Revised Selected Papers, Part II
Euro-Par Workshops (2)
Luís M. B. Lopes, Julius Zilinskas, Alexandru Costan, Roberto G. Cascella, Gabor Kecskemeti, Emmanuel Jeannot, Mario Cannataro, Laura Ricci, Siegfried Benkner, Salvador Petit, Vittorio Scarano, José Gracia, Sascha Hunold, Stephen L. Scott, Stefan Lankes, Christian Lengauer, Jesús Carretero, Jens Breitbart, Michael Alexander
2014 J jnl
Globally-biased Disimpl algorithm for expensive global optimization.
J. Glob. Optim.
Remigijus Paulavicius, Yaroslav D. Sergeyev, Dmitri E. Kvasov, Julius Zilinskas
2014 — conf
On Multidimensional Scaling with City-Block Distances.
LION
Nerijus Galiauskas, Julius Zilinskas
2014 — conf
Parallel Shared-Memory Multi-Objective Stochastic Search for Competitive Facility Location.
Euro-Par Workshops (1)
Algirdas Lancinskas, Pilar Martínez Ortigosa, Julius Zilinskas
2014 J jnl
Simplicial Lipschitz optimization without the Lipschitz constant.
J. Glob. Optim.
Remigijus Paulavicius, Julius Zilinskas
2013 — conf
A Parallel DISIMPL for Pile Placement Optimization in Grillage-Type Foundations.
3PGCIC
Remigijus Paulavicius, Julius Zilinskas, Juan F. R. Herrera, Leocadio G. Casado
2013 J jnl
A hybrid global optimization algorithm for non-linear least squares regression.
J. Glob. Optim.
Antanas Zilinskas, Julius Zilinskas
2013 — conf
Communications-Aware Process Placement Taking into Account Symmetries of Topology.
3PGCIC
Julius Zilinskas
2013 — conf
Dynamic and Hierarchical Load-Balancing Techniques Applied to Parallel Branch-and-Bound Methods.
3PGCIC
Juan F. R. Herrera, Leocadio G. Casado, Eligius M. T. Hendrix, Remigijus Paulavicius, Julius Zilinskas
2013 — conf
Electrical Energy Aware Parallel Computing with MPI and CUDA.
3PGCIC
Aleksandr Igumenov, Julius Zilinskas
2013 — conf
On a Hybrid MPI-Pthread Approach for Simplicial Branch-and-Bound.
IPDPS Workshops
Juan F. R. Herrera, Leocadio G. Casado, Remigijus Paulavicius, Julius Zilinskas, Eligius M. T. Hendrix
2013 — conf
Parallel Branch and Bound for Multidimensional Scaling with L1 Distances Formulated as Quadratic Programming with Complementarity Constraints.
3PGCIC
Nerijus Galiauskas, Julius Zilinskas
2013 — conf
Parallel Multi-objective Memetic Algorithm for Competitive Facility Location.
PPAM (2)
Algirdas Lancinskas, Julius Zilinskas
2012 J jnl
Multimodal Evolutionary Algorithm for Multidimensional Scaling with City-Block Distances.
Informatica
Juana López Redondo, Pilar Martínez Ortigosa, Julius Zilinskas
2012 — conf
On Multi-Objective Optimization Aided Visualization of Graphs Related to Business Process Diagrams.
DB&Local Proceedings
Vytautas Jancauskas, Giedrius Kaukas, Antanas Zilinskas, Julius Zilinskas
2012 J jnl
Parallel branch and bound for multidimensional scaling with city-block distances.
J. Glob. Optim.
Julius Zilinskas
2012 — conf
Solution of Multi-Objective Competitive Facility Location Problems Using Parallel NSGA-II on Large Scale Computing Systems.
PARA
Algirdas Lancinskas, Julius Zilinskas
2011 — conf
Approaches to Parallelize Pareto Ranking in NSGA-II Algorithm.
PPAM (2)
Algirdas Lancinskas, Julius Zilinskas
2011 J jnl
Copositive Programming by Simplicial Partition.
Informatica
Julius Zilinskas
2011 J jnl
Depth-first simplicial partition for copositivity detection, with an application to MaxClique.
Optim. Methods Softw.
Julius Zilinskas, Mirjam Dür
2011 — conf
Local optimization in global Multi-Objective Optimization Algorithms.
NaBIC
Algirdas Lancinskas, Julius Zilinskas, Pilar Martínez Ortigosa
2011 J jnl
Optimal Placement of Piles in Real Grillages: Experimental Comparison of Optimization Algorithms.
Inf. Technol. Control.
Rimantas Belevicius, Sergejus Ivanikovas, Dmitrij Sesok, Saulius Valentinavicius, Julius Zilinskas
2011 J jnl
Parallel branch and bound for global optimization with combination of Lipschitz bounds.
Optim. Methods Softw.
Remigijus Paulavicius, Julius Zilinskas, Andreas Grothey
2010 J jnl
Interval Arithmetic Based Optimization in Nonlinear Regression.
Informatica
Antanas Zilinskas, Julius Zilinskas
2010 J jnl
Investigation of selection strategies in branch and bound algorithm with simplicial partitions and combination of Lipschitz bounds.
Optim. Lett.
Remigijus Paulavicius, Julius Zilinskas, Andreas Grothey
2009 J jnl
Branch and bound algorithm for multidimensional scaling with city-block metric.
J. Glob. Optim.
Antanas Zilinskas, Julius Zilinskas
2009 — ch.
Global Optimization: Interval Analysis and Balanced Interval Arithmetic.
Encyclopedia of Optimization
Julius Zilinskas, Ian David Lockhart Bogle
2009 — ch.
Optimization-Based Visualization.
Encyclopedia of Optimization
Antanas Zilinskas, Julius Zilinskas
2008 J jnl
A hybrid method for multidimensional scaling using city-block distances.
Math. Methods Oper. Res.
Antanas Zilinskas, Julius Zilinskas
2008 J jnl
On Dimensionality of Embedding Space in Multidimensional Scaling.
Informatica
Julius Zilinskas
2007 A conf
Parallel genetic algorithm: assessment of performance in multidimensional scaling.
GECCO
Antanas Zilinskas, Julius Zilinskas
2007 J jnl
Two level minimization in multidimensional scaling.
J. Glob. Optim.
Antanas Zilinskas, Julius Zilinskas
2006 J jnl
Balanced random interval arithmetic in market model estimation.
Eur. J. Oper. Res.
Julius Zilinskas, Ian David Lockhart Bogle
2006 J jnl
Estimation of Functional Ranges Using Standard and Inner Interval Arithmetic.
Informatica
Julius Zilinskas
2006 J jnl
Parallel hybrid algorithm for global optimization of problems occurring in MDS-based visualization.
Comput. Math. Appl.
Antanas Zilinskas, Julius Zilinskas
2005 J jnl
Comparison of Packages for Interval Arithmetic.
Informatica
Julius Zilinskas
2004 J jnl
Balanced random interval arithmetic.
Comput. Chem. Eng.
Julius Zilinskas, Ian David Lockhart Bogle
2004 — conf
On Efficiency of Tightening Bounds in Interval Global Optimization.
PARA
Antanas Zilinskas, Julius Zilinskas
2003 J jnl
Evaluation Ranges of Functions using Balanced Random Interval Arithmetic.
Informatica
Julius Zilinskas, Ian David Lockhart Bogle