A rigorous design method for binary cellular neural networks. - Iztok Fajfar; Franc Bratkovic; Tadej Tuma; Janez Puhan (Int. J. Circuit Theory Appl., 1998)

Defining Cost Functions for Robust IC Design and Optimization. - Árpád Bürmen; Janez Puhan; Tadej Tuma (DATE, 2003)

Grid Restrained Nelder-Mead Algorithm. - Árpád Bürmen; Janez Puhan; Tadej Tuma (Comput. Optim. Appl., 2006)

DESA: a new hybrid global optimization method and its application to analog integrated circuit sizing. - Jernej Olensek; Árpád Bürmen; Janez Puhan; Tadej Tuma (J. Glob. Optim., 2009)

A new asynchronous parallel global optimization method based on simulated annealing and differential evolution. - Jernej Olensek; Tadej Tuma; Janez Puhan; Árpád Bürmen (Appl. Soft Comput., 2011)

Evolving a Nelder-Mead Algorithm for Optimization with Genetic Programming. - Iztok Fajfar; Janez Puhan; Árpád Bürmen (Evol. Comput., 2017)

Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms. - Iztok Fajfar; Árpád Bürmen; Janez Puhan (Genet. Program. Evolvable Mach., 2018)

The Nelder-Mead simplex algorithm with perturbed centroid for high-dimensional function optimization. - Iztok Fajfar; Árpád Bürmen; Janez Puhan (Optim. Lett., 2019)

Experiment Control and Monitoring System for LOG-a-TEC Testbed. - Grega Morano; Andrej Hrovat; Matevz Vucnik; Janez Puhan; Gordana Gardasevic; Dragan Vasiljevic; Tomaz Javornik (Sensors, 2021)

Imperative Genetic Programming. - Iztok Fajfar; Ziga Rojec; Árpád Bürmen; Matevz Kunaver; Tadej Tuma; Saso Tomazic; Janez Puhan (Symmetry, 2024)