Michael Kokkolaras

13 papers B 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Transfer Learning in Bayesian Optimization for Aircraft Design.
CoRR
Ali Tfaily, Youssef Diouane, Nathalie Bartoli, Michael Kokkolaras
2025 J jnl
Managing combinatorial design challenges using flexibility and pathfinding algorithms.
Artif. Intell. Eng. Des. Anal. Manuf.
Julian Martinsson Bonde, Iñigo Alonso Fernández, Michael Kokkolaras, Johan Malmqvist, Massimo Panarotto, Ola Isaksson
2025 J jnl
Risk-averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties.
Comput. Optim. Appl.
Charles Audet, Jean Bigeon, Romain Couderc, Michael Kokkolaras
2023 J jnl
A similarity-assisted multi-fidelity approach to conceptual design space exploration.
Comput. Ind.
Julian Martinsson Bonde, Michael Kokkolaras, Petter Andersson, Massimo Panarotto, Ola Isaksson
2023 J jnl
Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates.
Math. Program.
Kwassi Joseph Dzahini, Michael Kokkolaras, Sébastien Le Digabel
2022 J jnl
Optimization of Infectious Disease Prevention and Control Policies Using Artificial Life.
IEEE Trans. Emerg. Top. Comput. Intell.
Khalil Al Handawi, Michael Kokkolaras
2021 J jnl
Parallel Surrogate-assisted Optimization Using Mesh Adaptive Direct Search.
CoRR
Bastien Talgorn, Stéphane Alarie, Michael Kokkolaras
2021 J jnl
Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates.
Comput. Optim. Appl.
Charles Audet, Kwassi Joseph Dzahini, Michael Kokkolaras, Sébastien Le Digabel
2021 J jnl
Two decades of blackbox optimization applications.
EURO J. Comput. Optim.
Stéphane Alarie, Charles Audet, Aïmen E. Gheribi, Michael Kokkolaras, Sébastien Le Digabel
2018 J jnl
Order-based error for managing ensembles of surrogates in mesh adaptive direct search.
J. Glob. Optim.
Charles Audet, Michael Kokkolaras, Sébastien Le Digabel, Bastien Talgorn
2017 J jnl
A knowledge-based master model approach exemplified with jet engine structural design.
Comput. Ind.
Marcus Sandberg, Ilya Tyapin, Michael Kokkolaras, Anders Lundbladh, Ola Isaksson
2011 J jnl
A Knowledge-based Master-model Approach with Application to Rotating Machinery Design.
Concurr. Eng. Res. Appl.
Marcus Sandberg, Ilya Tyapin, Michael Kokkolaras, O. Isakasson, Jan-Olov Aidanpää, Tobias Larsson
1998 B conf
Adaptive solution of differential equations for the regularization of artificial neural networks.
SMC
Andrew J. Meade Jr., Michael Kokkolaras, Boris Zeldin