Evaluation Ranges of Functions using Balanced Random Interval Arithmetic. - Julius Zilinskas; Ian David Lockhart Bogle (Informatica, 2003)

On Efficiency of Tightening Bounds in Interval Global Optimization. - Antanas Zilinskas; Julius Zilinskas (PARA, 2004)

Balanced random interval arithmetic. - Julius Zilinskas; Ian David Lockhart Bogle (Comput. Chem. Eng., 2004)

Comparison of Packages for Interval Arithmetic. - Julius Zilinskas (Informatica, 2005)

Parallel hybrid algorithm for global optimization of problems occurring in MDS-based visualization. - Antanas Zilinskas; Julius Zilinskas (Comput. Math. Appl., 2006)

Balanced random interval arithmetic in market model estimation. - Julius Zilinskas; Ian David Lockhart Bogle (Eur. J. Oper. Res., 2006)

Estimation of Functional Ranges Using Standard and Inner Interval Arithmetic. - Julius Zilinskas (Informatica, 2006)

Parallel genetic algorithm: assessment of performance in multidimensional scaling. - Antanas Zilinskas; Julius Zilinskas (GECCO, 2007)

Two level minimization in multidimensional scaling. - Antanas Zilinskas; Julius Zilinskas (J. Glob. Optim., 2007)

On Dimensionality of Embedding Space in Multidimensional Scaling. - Julius Zilinskas (Informatica, 2008)

A hybrid method for multidimensional scaling using city-block distances. - Antanas Zilinskas; Julius Zilinskas (Math. Methods Oper. Res., 2008)

Branch and bound algorithm for multidimensional scaling with city-block metric. - Antanas Zilinskas; Julius Zilinskas (J. Glob. Optim., 2009)

Global Optimization: Interval Analysis and Balanced Interval Arithmetic. - Julius Zilinskas; Ian David Lockhart Bogle (Encyclopedia of Optimization, 2009)

Optimization-Based Visualization. - Antanas Zilinskas; Julius Zilinskas (Encyclopedia of Optimization, 2009)

Interval Arithmetic Based Optimization in Nonlinear Regression. - Antanas Zilinskas; Julius Zilinskas (Informatica, 2010)

Investigation of selection strategies in branch and bound algorithm with simplicial partitions and combination of Lipschitz bounds. - Remigijus Paulavicius; Julius Zilinskas; Andreas Grothey (Optim. Lett., 2010)

Local optimization in global Multi-Objective Optimization Algorithms. - Algirdas Lancinskas; Julius Zilinskas; Pilar Martínez Ortigosa (NaBIC, 2011)

Approaches to Parallelize Pareto Ranking in NSGA-II Algorithm. - Algirdas Lancinskas; Julius Zilinskas (PPAM (2), 2011)

Copositive Programming by Simplicial Partition. - Julius Zilinskas (Informatica, 2011)

Optimal Placement of Piles in Real Grillages: Experimental Comparison of Optimization Algorithms. - Rimantas Belevicius; Sergejus Ivanikovas; Dmitrij Sesok; Saulius Valentinavicius; Julius Zilinskas (Inf. Technol. Control., 2011)

Parallel branch and bound for global optimization with combination of Lipschitz bounds. - Remigijus Paulavicius; Julius Zilinskas; Andreas Grothey (Optim. Methods Softw., 2011)

Depth-first simplicial partition for copositivity detection, with an application to MaxClique. - Julius Zilinskas; Mirjam Dür (Optim. Methods Softw., 2011)

On Multi-Objective Optimization Aided Visualization of Graphs Related to Business Process Diagrams. - Vytautas Jancauskas; Giedrius Kaukas; Antanas Zilinskas; Julius Zilinskas (DB&Local Proceedings, 2012)

Solution of Multi-Objective Competitive Facility Location Problems Using Parallel NSGA-II on Large Scale Computing Systems. - Algirdas Lancinskas; Julius Zilinskas (PARA, 2012)

Multimodal Evolutionary Algorithm for Multidimensional Scaling with City-Block Distances. - Juana López Redondo; Pilar Martínez Ortigosa; Julius Zilinskas (Informatica, 2012)

Parallel branch and bound for multidimensional scaling with city-block distances. - Julius Zilinskas (J. Glob. Optim., 2012)

Parallel Branch and Bound for Multidimensional Scaling with L1 Distances Formulated as Quadratic Programming with Complementarity Constraints. - Nerijus Galiauskas; Julius Zilinskas (3PGCIC, 2013)

Dynamic and Hierarchical Load-Balancing Techniques Applied to Parallel Branch-and-Bound Methods. - Juan F. R. Herrera; Leocadio G. Casado; Eligius M. T. Hendrix; Remigijus Paulavicius; Julius Zilinskas (3PGCIC, 2013)

Electrical Energy Aware Parallel Computing with MPI and CUDA. - Aleksandr Igumenov; Julius Zilinskas (3PGCIC, 2013)

A Parallel DISIMPL for Pile Placement Optimization in Grillage-Type Foundations. - Remigijus Paulavicius; Julius Zilinskas; Juan F. R. Herrera; Leocadio G. Casado (3PGCIC, 2013)

Communications-Aware Process Placement Taking into Account Symmetries of Topology. - Julius Zilinskas (3PGCIC, 2013)

On a Hybrid MPI-Pthread Approach for Simplicial Branch-and-Bound. - Juan F. R. Herrera; Leocadio G. Casado; Remigijus Paulavicius; Julius Zilinskas; Eligius M. T. Hendrix (IPDPS Workshops, 2013)

Parallel Multi-objective Memetic Algorithm for Competitive Facility Location. - Algirdas Lancinskas; Julius Zilinskas (PPAM (2), 2013)

A hybrid global optimization algorithm for non-linear least squares regression. - Antanas Zilinskas; Julius Zilinskas (J. Glob. Optim., 2013)

Parallel Shared-Memory Multi-Objective Stochastic Search for Competitive Facility Location. - Algirdas Lancinskas; Pilar Martínez Ortigosa; Julius Zilinskas (Euro-Par Workshops (1), 2014)

On Multidimensional Scaling with City-Block Distances. - Nerijus Galiauskas; Julius Zilinskas (LION, 2014)

Globally-biased Disimpl algorithm for expensive global optimization. - Remigijus Paulavicius; Yaroslav D. Sergeyev; Dmitri E. Kvasov; Julius Zilinskas (J. Glob. Optim., 2014)

Simplicial Lipschitz optimization without the Lipschitz constant. - Remigijus Paulavicius; Julius Zilinskas (J. Glob. Optim., 2014)

Adaptation of a one-step worst-case optimal univariate algorithm of bi-objective Lipschitz optimization to multidimensional problems. - Antanas Zilinskas; Julius Zilinskas (Commun. Nonlinear Sci. Numer. Simul., 2015)

Pareto-optimal front of cell formation problem in group technology. - Julius Zilinskas; Boris Goldengorin; Panos M. Pardalos (J. Glob. Optim., 2015)

Estimating the Pareto Front of a Hard Bi-criterion Competitive Facility Location Problem. - Algirdas Lancinskas; Pascual Fernández; Blas Pelegrín; Julius Zilinskas (Advances in Stochastic and Deterministic Global Optimization, 2016)

HeteroPar 2014, APCIE 2014, and TASUS 2014 Special Issue. - Jesús Carretero 001; Raimondas Ciegis; Emmanuel Jeannot; Laurent Lefèvre; Gudula Rünger; Domenico Talia; Julius Zilinskas (Concurr. Comput. Pract. Exp., 2016)

Solution of Discrete Competitive Facility Location Problem for Firm Expansion. - Algirdas Lancinskas; Pascual Fernández; Blas Pelegrín; Julius Zilinskas (Informatica, 2016)

Advantages of simplicial partitioning for Lipschitz optimization problems with linear constraints. - Remigijus Paulavicius; Julius Zilinskas (Optim. Lett., 2016)

A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. - Ernestas Filatovas; Algirdas Lancinskas; Olga Kurasova; Julius Zilinskas (Central Eur. J. Oper. Res., 2017)

New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior. - Pascual Fernández; Blas Pelegrín; Algirdas Lancinskas; Julius Zilinskas (Comput. Oper. Res., 2017)

Application of Reduced-set Pareto-Lipschitzian Optimization to truss optimization. - Jonas Mockus; Remigijus Paulavicius; Dainius Rusakevicius; Dmitrij Sesok; Julius Zilinskas (J. Glob. Optim., 2017)

On the accuracy of some absorbing boundary conditions for the Schrodinger equation. - Andrej Bugajev; Raimondas Ciegis; Rima Kriauziene; Terese Leonaviciene; Julius Zilinskas (Math. Model. Anal., 2017)

Improving solution of discrete competitive facility location problems. - Algirdas Lancinskas; Pascual Fernández; Blas Pelegrín; Julius Zilinskas (Optim. Lett., 2017)

The Huff Versus the Pareto-Huff Customer Choice Rules in a Discrete Competitive Location Model. - Pascual Fernández; Blas Pelegrín; Algirdas Lancinskas; Julius Zilinskas (ICCSA (2), 2018)

Global optimization based on bisection of rectangles, function values at diagonals, and a set of Lipschitz constants. - Remigijus Paulavicius; Lakhdar Chiter; Julius Zilinskas (J. Glob. Optim., 2018)

Improved scheme for selection of potentially optimal hyper-rectangles in DIRECT. - Linas Stripinis; Remigijus Paulavicius; Julius Zilinskas (Optim. Lett., 2018)

Ranking-based discrete optimization algorithm for asymmetric competitive facility location. - Algirdas Lancinskas; Julius Zilinskas; Pascual Fernández; Blas Pelegrín (GECCO (Companion), 2019)

Globally-biased BIRECT algorithm with local accelerators for expensive global optimization. - Remigijus Paulavicius; Yaroslav D. Sergeyev; Dmitri E. Kvasov; Julius Zilinskas (Expert Syst. Appl., 2020)

A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule. - Pascual Fernández; Algirdas Lancinskas; Blas Pelegrín; Julius Zilinskas (Informatica, 2020)

Global optimization of grillage-type foundations using a distributed genetic algorithm. - Mikalojus Ramanauskas; Dmitrij Sesok; Julius Zilinskas; Vadimas Starikovicius; Arnas Kaceniauskas; Rimantas Belevicius (J. Glob. Optim., 2020)

Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations. - Algirdas Lancinskas; Julius Zilinskas; Pascual Fernández; Blas Pelegrín (Soft Comput., 2020)

ILSA Data Analysis with R Packages. - Laura Ringiene; Julius Zilinskas; Audrone Jakaitiene (MCO, 2021)

On MATLAB experience in accelerating DIRECT-GLce algorithm for constrained global optimization through dynamic data structures and parallelization. - Linas Stripinis; Julius Zilinskas; Leocadio G. Casado; Remigijus Paulavicius (Appl. Math. Comput., 2021)

Exact and heuristic solutions of a discrete competitive location model with Pareto-Huff customer choice rule. - Pascual Fernández; Blas Pelegrín; Algirdas Lancinskas; Julius Zilinskas (J. Comput. Appl. Math., 2021)

A discrete competitive facility location model with proportional and binary rules sequentially applied. - Pascual Fernández; Algirdas Lancinskas; Blas Pelegrín; Julius Zilinskas (Optim. Lett., 2023)

Preface. - Ilias S. Kotsireas; Panos M. Pardalos; Julius Zilinskas (J. Glob. Optim., 2024)

Scalable Bayesian optimization with generalized product of experts. - Saulius Tautvaisas; Julius Zilinskas (J. Glob. Optim., 2024)

Population-based algorithm for discrete facility location with ranking of candidate locations. - Algirdas Lancinskas; Julius Zilinskas; Pascual Fernández; Blas Pelegrín (J. Comput. Appl. Math., 2025)

Heteroscedastic Bayesian optimization using generalized product of experts. - Saulius Tautvaisas; Julius Zilinskas (J. Glob. Optim., 2025)