Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets - Linas Stripinis; Jakub Kudela; Remigijus Paulavicius (IEEE Trans. Evol. Comput., 2025)

Advancing Research Reproducibility in Machine Learning through Blockchain Technology - Ernestas Filatovas; Linas Stripinis; Francisco Orts; Remigijus Paulavicius (Informatica, 2024)

Lipschitz-inspired HALRECT algorithm for derivative-free global optimization - Linas Stripinis; Remigijus Paulavicius (J. Glob. Optim., 2024)

An empirical study of various candidate selection and partitioning techniques in the DIRECT framework - Linas Stripinis; Remigijus Paulavicius (J. Glob. Optim., 2024)

Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets - Linas Stripinis; Jakub Kudela; Remigijus Paulavicius (Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, 2024)

A novel greedy genetic algorithm-based personalized travel recommendation system - Remigijus Paulavicius; Linas Stripinis; Simona Sutaviciute; Dmitrij Kocegarov; Ernestas Filatovas (Expert Syst. Appl., 2023)

Towards Reproducible Research in Machine Learning via Blockchain - Ernestas Filatovas; Linas Stripinis; Francisco Orts; Remigijus Paulavicius (Numerical Computations: Theory and Algorithms - 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14-20, 2023, Revised Selected Papers, Part III, 2023)

DIRECTGO: A New DIRECT-Type MATLAB Toolbox for Derivative-Free Global Optimization - Linas Stripinis; Remigijus Paulavicius (ACM Trans. Math. Softw., 2022)

An extensive numerical benchmark study of deterministic vs. stochastic derivative-free global optimization algorithms - Linas Stripinis; Remigijus Paulavicius (CoRR, 2022)

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)

A new DIRECT-GLh algorithm for global optimization with hidden constraints - Linas Stripinis; Remigijus Paulavicius (Optim. Lett., 2021)

DGO: A new DIRECT-type MATLAB toolbox for derivative-free global optimization - Linas Stripinis; Remigijus Paulavicius (CoRR, 2021)

An empirical study of various candidate selection and partitioning techniques in the DIRECT framework - Linas Stripinis; Remigijus Paulavicius (CoRR, 2021)

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