Adaptive solution of differential equations for the regularization of artificial neural networks. - Andrew J. Meade Jr.; Michael Kokkolaras; Boris Zeldin (SMC, 1998)

A Knowledge-based Master-model Approach with Application to Rotating Machinery Design. - Marcus Sandberg; Ilya Tyapin; Michael Kokkolaras; O. Isakasson; Jan-Olov Aidanpää; Tobias Larsson (Concurr. Eng. Res. Appl., 2011)

A knowledge-based master model approach exemplified with jet engine structural design. - Marcus Sandberg; Ilya Tyapin; Michael Kokkolaras; Anders Lundbladh; Ola Isaksson (Comput. Ind., 2017)

Order-based error for managing ensembles of surrogates in mesh adaptive direct search. - Charles Audet; Michael Kokkolaras; Sébastien Le Digabel; Bastien Talgorn (J. Glob. Optim., 2018)

Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates. - Charles Audet; Kwassi Joseph Dzahini; Michael Kokkolaras; Sébastien Le Digabel (Comput. Optim. Appl., 2021)

Parallel Surrogate-assisted Optimization Using Mesh Adaptive Direct Search. - Bastien Talgorn; Stéphane Alarie; Michael Kokkolaras (CoRR, 2021)

Two decades of blackbox optimization applications. - Stéphane Alarie; Charles Audet; Aïmen E. Gheribi; Michael Kokkolaras; Sébastien Le Digabel (EURO J. Comput. Optim., 2021)

Optimization of Infectious Disease Prevention and Control Policies Using Artificial Life. - Khalil Al Handawi; Michael Kokkolaras (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. - Kwassi Joseph Dzahini; Michael Kokkolaras; Sébastien Le Digabel (Math. Program., 2023)

A similarity-assisted multi-fidelity approach to conceptual design space exploration. - Julian Martinsson Bonde; Michael Kokkolaras; Petter Andersson; Massimo Panarotto; Ola Isaksson (Comput. Ind., 2023)