| Grid restrained nelder-mead algorithm Á Bűrmen, J Puhan, T Tuma Computational optimization and applications 34, 359-375, 2006 | 79 | 2006 |
| A new asynchronous parallel global optimization method based on simulated annealing and differential evolution J Olenšek, T Tuma, J Puhan, Á Bűrmen Applied Soft Computing 11 (1), 1481-1489, 2011 | 58 | 2011 |
| Evolving a Nelder–Mead algorithm for optimization with genetic programming I Fajfar, J Puhan, Á Bűrmen Evolutionary computation 25 (3), 351-373, 2017 | 39 | 2017 |
| The Nelder–Mead simplex algorithm with perturbed centroid for high-dimensional function optimization I Fajfar, Á Bűrmen, J Puhan Optimization Letters 13, 1011-1025, 2019 | 34 | 2019 |
| Automated robust design and optimization of integrated circuits by means of penalty functions Á Bűrmen, D Strle, F Bratkovič, J Puhan, I Fajfar, T Tuma AEU-International journal of electronics and communications 57 (1), 47-56, 2003 | 31 | 2003 |
| A rigorous design method for binary cellular neural networks I Fajfar, F Bratkovič, T Tuma, J Puhan International Journal of Circuit Theory and Applications 26 (4), 365-373, 1998 | 30 | 1998 |
| DESA: a new hybrid global optimization method and its application to analog integrated circuit sizing J Olenšek, Á Bűrmen, J Puhan, T Tuma Journal of Global Optimization 44, 53-77, 2009 | 24 | 2009 |
| Optimisation methods in SPICE: a comparison J Puhan, T Tuma, I Fajfar Proceedings of European Conference on Circuit Theory and Design. ECCTD’99 …, 1999 | 23 | 1999 |
| Robust design and optimization of operating amplifiers A Burmen, J Puhan, T Tuma IEEE International Conference on Industrial Technology, 2003 2, 745-750, 2003 | 20 | 2003 |
| Optimisation of analog circuits with SPICE 3f4 J Puhan, T Tuma intervals 5 (50), 50, 1997 | 20 | 1997 |
| Low-cost, high-performance CNN simulator implemented in FPGA M Perko, I Fajfar, T Tuma, J Puhan Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural …, 2000 | 19 | 2000 |
| Analogue integrated circuit sizing with several optimization runs using heuristics for setting initial points J Puhan, A Burmen, T Tuma Canadian journal of electrical and computer engineering 28 (3/4), 105-111, 2003 | 17 | 2003 |
| Model parameter identification with SPICE OPUS: A comparison of direct search and elitistic genetic algorithm A Bürmen, J Puhan, T Tuma, I Fajfar, A Nussdorfer Proceedings of the 15th European Conference on Circuit Theory and Design …, 2001 | 14 | 2001 |
| Towards smaller populations in differential evolution I Fajfar, T Tuma, J Puhan, J Olenšek, A Bűrmen J Microelectron Electron Compon Mater 42, 152-163, 2012 | 12 | 2012 |
| Fast Fourier transform computation using a digital CNN simulator M Perko, I Fajfar, T Tuma, J Puhan 1998 Fifth IEEE International Workshop on Cellular Neural Networks and their …, 1998 | 12 | 1998 |
| On selection in differential evolution I Fajfar, J Puhan, S Tomažič, A Bűrmen Elektrotehniški Vestnik 78, 275-280, 2011 | 9 | 2011 |
| Teaching assembly and C language concurrently J Puhan, Á Bűrmen, T Tuma, I Fajfar International Journal of Electrical Engineering Education 47 (2), 120-131, 2010 | 8 | 2010 |
| Spice for Windows 95/98/NT J Puhan, T Tuma, I Fajfar The University of Ljubljana, Slovenia, at the Faculty of Electrical Engineering, 1998 | 8 | 1998 |
| Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms I Fajfar, Á Bűrmen, J Puhan Genetic programming and evolvable machines 19, 473-504, 2018 | 6 | 2018 |
| An accurate representation of incoherent layers within one-dimensional thin-film multilayer structures with equivalent propagation matrices J Puhan, B Lipovšek, Á Bűrmen, I Fajfar IEEE Photonics Journal 9 (5), 1-12, 2017 | 6 | 2017 |
Tadej TumaProfessor at University of Ljubljana, Faculty of Electrical EngineeringVerified email at fe.uni-lj.si
