Linas Stripinis

15 papers Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization.
IEEE Trans. Cybern.
Linas Stripinis, Jakub Kudela, Remigijus Paulavicius
2025 J jnl
Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets.
IEEE Trans. Evol. Comput.
Linas Stripinis, Jakub Kudela, Remigijus Paulavicius
2024 J jnl
Advancing Research Reproducibility in Machine Learning through Blockchain Technology.
Informatica
Ernestas Filatovas, Linas Stripinis, Francisco Orts, Remigijus Paulavicius
2024 J jnl
An empirical study of various candidate selection and partitioning techniques in the DIRECT framework.
J. Glob. Optim.
Linas Stripinis, Remigijus Paulavicius
2024 — conf
Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets.
GECCO Companion
Linas Stripinis, Jakub Kudela, Remigijus Paulavicius
2024 J jnl
Lipschitz-inspired HALRECT algorithm for derivative-free global optimization.
J. Glob. Optim.
Linas Stripinis, Remigijus Paulavicius
2023 J jnl
A novel greedy genetic algorithm-based personalized travel recommendation system.
Expert Syst. Appl.
Remigijus Paulavicius, Linas Stripinis, Simona Sutaviciute, Dmitrij Kocegarov, Ernestas Filatovas
2023 — conf
Towards Reproducible Research in Machine Learning via Blockchain.
NUMTA (3)
Ernestas Filatovas, Linas Stripinis, Francisco Orts, Remigijus Paulavicius
2022 J jnl
An extensive numerical benchmark study of deterministic vs. stochastic derivative-free global optimization algorithms.
CoRR
Linas Stripinis, Remigijus Paulavicius
2022 J jnl
DIRECTGO: A New DIRECT-Type MATLAB Toolbox for Derivative-Free Global Optimization.
ACM Trans. Math. Softw.
Linas Stripinis, Remigijus Paulavicius
2021 J jnl
A new DIRECT-GLh algorithm for global optimization with hidden constraints.
Optim. Lett.
Linas Stripinis, Remigijus Paulavicius
2021 J jnl
An empirical study of various candidate selection and partitioning techniques in the DIRECT framework.
CoRR
Linas Stripinis, Remigijus Paulavicius
2021 J jnl
DGO: A new DIRECT-type MATLAB toolbox for derivative-free global optimization.
CoRR
Linas Stripinis, Remigijus Paulavicius
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
2018 J jnl
Improved scheme for selection of potentially optimal hyper-rectangles in DIRECT.
Optim. Lett.
Linas Stripinis, Remigijus Paulavicius, Julius Zilinskas