- Linas Stripinis, Julius Žilinskas, Leocadio G. Casado, Remigijus Paulavičius, “On MATLAB experience in accelerating DIRECT-GLce algorithm for constrained global optimization through dynamic data structures and parallelization”, Applied Mathematics and Computation, 390, 2021, 125596
- Shih-Cheng Horng, Chin-Tan Lee, “Integration of Ordinal Optimization with Ant Lion Optimization for Solving the Computationally Expensive Simulation Optimization Problems”, Applied Sciences, 11, № 1, 2020, 136
- Linas Stripinis, Remigijus Paulavičius, Derivative-free DIRECT-type Global Optimization, 2023, 21
- Kansei Kanayama, Atsuto Seko, Kazuaki Toyoura, “Structure search method for atomic clusters based on the dividing rectangles algorithm”, Phys. Rev. E, 108, № 3, 2023, 035303
- Linas Stripinis, Remigijus Paulavičius, Derivative-free DIRECT-type Global Optimization, 2023, 69
- Marina Usova, Konstantin Barkalov, P. Stanimirović, A. Stupina, I. Kovalev, “Lipschitz global optimization and machine learning: helping each other to solve complex problems”, ITM Web Conf., 59, 2024, 01019
- Linas Stripinis, Remigijus Paulavičius, “An empirical study of various candidate selection and partitioning techniques in the DIRECT framework”, J Glob Optim, 88, № 3, 2024, 723
- Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego, “Safe global optimization of expensive noisy black-box functions in the $\delta $-Lipschitz framework”, Soft Comput, 24, № 23, 2020, 17715
- Vaidas Jusevičius, Richard Oberdieck, Remigijus Paulavičius, “Experimental Analysis of Algebraic Modelling Languages for Mathematical Optimization”, Informatica, 2021, 283
- Linas Stripinis, Remigijus Paulavičius, “Experimental Study of Excessive Local Refinement Reduction Techniques for Global Optimization DIRECT-Type Algorithms”, Mathematics, 10, № 20, 2022, 3760