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, no. 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, no. 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, no. 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, no. 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, no. 20, 2022, 3760