Finding all stable equilibria of cellular neural networks. - Iztok Fajfar; Franc Bratkovic (Int. J. Circuit Theory Appl., 1994)

Fast binary cellular neural networks. - Iztok Fajfar (ICNN, 1997)

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

Combined simplex-trust-region optimization algorithm for automated IC design. - Árpád Bürmen; Iztok Fajfar; Tadej Tuma (ECCTD, 2007)

A Combined Simplex-trust-Region Method for Analog Circuit Optimization. - Árpád Bürmen; Tadej Tuma; Iztok Fajfar (J. Circuits Syst. Comput., 2008)

Selection strategies and random perturbations in differential evolution. - Iztok Fajfar (IEEE Congress on Evolutionary Computation, 2012)

Grammatical Evolution in a Matrix Factorization Recommender System. - Matevz Kunaver; Iztok Fajfar (ICAISC (1), 2016)

An evolution-driven analog circuit topology synthesis. - Ziga Rojec; Árpád Bürmen; Iztok Fajfar (SSCI, 2016)

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

Creation of Numerical Constants in Robust Gene Expression Programming. - Iztok Fajfar; Tadej Tuma (Entropy, 2018)

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

Mesh adaptive direct search with simplicial Hessian update. - Árpád Bürmen; Iztok Fajfar (Comput. Optim. Appl., 2019)

Analog circuit topology synthesis by means of evolutionary computation. - Ziga Rojec; Árpád Bürmen; Iztok Fajfar (Eng. Appl. Artif. Intell., 2019)

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

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