Publications

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2022

  1. Oltean Mihai, Multi Expression Programming for solving classification problems, Technical report, 2022.

2021

  1. Oltean Mihai, Fruits 360 dataset: new research directions, Technical report, 2021.

2019

  1. Oltean Mihai, Jenny5 - the robot, Technical report, 2019.

2018

  1. Mureșan Horea, Oltean Mihai, Fruit recognition from images using deep learning, Acta Univ. Sapientiae, Informatica Vol. 10, Issue 1, pp. 26-42, 2018. Data can be downloaded from Kaggle or Github.

2017

  1. Oltean Mihai, An optical solution for the set splitting problem, Acta Univ. Sapientiae, Informatica Vol. 9, Issue 2, pp. 134-143, 2017.

2010

  1. Oltean Mihai, Muntean Oana, An Optical Solution for the SAT Problem, Third International Workshop on Optical SuperComputing, OSC 2010, Bertinoro, Italy, November 17-19, 2010, Revised Selected Papers, LNCS 6748, pp. 53-62, Springer-Verlag, 2010 [website].

  2. Știrb L., Marian Zs., Oltean Mihai, An Autonomous Approach to Wheel Changing Problem, Studia Universitatis Babeș-Bolyai Series Informatica, Vol. LV, Issue 1, pp. 41-50, 2010 [Youtube movie].

2009

  1. Oltean Mihai, Muntean Oana, Solving the subset sum problem with a light-based computer, Natural Computing, Springer-Verlag, Vol 8, Issue 2, pp. 321-331, 2009 [website].

  2. Oltean Mihai, Light-based string matching, Natural Computing, Springer-Verlag, Vol 8. Issue 1, pp. 121-132, 2009.

  3. Muntean Oana, Oltean Mihai, Optical solutions for the unbounded subset-sum problem, International Journal of Innovative Computing, Information and Control, Vol. 5, Issue 8, 2159-2167, 2009 [website].

  4. Muntean Oana, Oltean Mihai, Optical solutions for linear Diophantine equations, Journal of Optoelectronics and Advanced Materials, Vol. 11, Issue 11, pp. 1728-1734, 2009 [website].

  5. Oltean Mihai, Muntean Oana, Evolutionary design of graph-based structures for optical computing, in proceedings of the second workshop on Optical SuperComputing, OSC 2009, LNCS 5882, pp. 56-69, Springer-Verlag, 2009 [website].

  6. Oltean Mihai, Dioșan Laura, An autonomous GP-based system for regression and classification problems Applied Soft Computing, Vol. 9, Issue 1, pp. 49-60, 2009

  7. Dioșan Laura, Oltean Mihai, Evolutionary design of Evolutionary Algorithms Genetic Programming and Evolvable Machines, Springer, Vol. 10, Issue 3, pp. 263-306, 2009.

  8. Oltean Mihai, Groșan Crina, Dioșan Laura, Mihăilă Cristina, Genetic Programming with linear representation: a survey, International Journal on Artificial Intelligence Tools, World Scientific, Vol. 19, Issue 2, pp. 197-238, 2009.

  9. Oltean Mihai, Unconventional Computing: A Short Introduction, Studia Universitatis Babeș-Bolyai Series Informatica, Vol. LIV, Issue 1, pp. 85-96, 2009.

2008

  1. Oltean Mihai, Solving the Hamiltonian path problem with a light-based computer, Natural Computing, Springer-Verlag, Vol 6, Issue 1, pp. 57-70, 2008 [website].

  2. Oltean Mihai, Muntean Oana, Exact Cover with Light, New Generation Computing, Springer-Verlag, Vol. 26, Issue 4, pp. 327-344, 2008 [website].

  3. Oltean Mihai, Muntean Oana, Solving NP-Complete Problems with Delayed Signals: An Overview of Current Research Directions, in proceedings of 1st international workshop on Optical SuperComputing, LNCS 5172, pp. 115-128, Springer-Verlag, 2008 [website]

  4. Dioșan Laura, Oltean Mihai, What Else Is the Evolution of PSO Telling Us?, Journal of Artificial Evolution and Applications Volume 2008, Article ID 289564, 12 pages, Hindawi Publishing Corporation, 2008.

  5. Oltean Mihai, Dioșan Laura, An Adaptive GP Strategy for Evolving Digital Circuits, 12th International Conference, KES 2008, Knowledge-Based Intelligent Information and Engineering Systems, Vol. 5179 LNCS pp. 376-383, 2008

2007

  1. Muntean Oana, Oltean Mihai, Processing Bank Checks with Genetic Programming and Histograms, Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2007, pp. 102-105, IEEE Press, 2007.

  2. Dioșan L., Oltean Mihai, Who's better? PESA or NSGA II?, The International Conference on Intelligent Systems Design and Applications, Workshop on Evolutionary Multiobjective Optimization: Design and Applications, Brazil, October 22th - 24th, pp. 869-874, IEEE CS Press, 2007.

  3. Muntean O., Dioșan L., Oltean Mihai, Solving the even-n-parity problems using Best Sub Tree Genetic Programming Adaptive Hardware Systems 2007, pp. 511-518, IEEE Press, 2007.

  4. Muntean Oana, Dioșan Laura, Oltean Mihai, Best SubTree Genetic Programming, Genetic and Evolutionary Computation Conference (GECCO), pp. 1667-1673, ACM Press, 2007.

  5. Dioșan Laura, Oltean Mihai, A. Rogozan, J. P. Pecuchet, Genetically Designed Multiple-Kernels for Improving the SVM Performance, Genetic and Evolutionary Computation Conference (GECCO), pp. 1873, 2007.

  6. Dioșan L., Oltean Mihai, Evolving Evolutionary Algorithms using Evolutionary Algorithms, Genetic and Evolutionary Computation Conference (GECCO), 2442-2449, ACM Press, 2007.

  7. Dioșan L., Oltean Mihai, Observing the swarm behavior during its evolutionary design, Genetic and Evolutionary Computation Conference (GECCO), 2667-2674, ACM Press, 2007.

  8. Oltean Mihai, Evolving Evolutionary Algorithms with Patterns, Soft Computing, Springer-Verlag, Vol. 11, Issue 6, pp. 503-518, 2007.

  9. Oltean Mihai, Groșan C., Using Traceless Genetic Programming for Solving Multiobjective Optimization Problems, Journal of Experimental and Theoretical Artificial Intelligence, Taylor & Francis, Vol. 19, pp. 227-248, 2007 [source code].

  10. Dioșan L., Oltean Mihai, Evolving the Update Strategy of the Particle Swarm Optimisation Algorithms, International Journal on Artificial Intelligent Tools, Vol. 16, Issue 1, pp. 87-110, World-Scientific, 2007.

  11. Oltean Mihai, Liquid State Genetic Programming, International Conference on Adaptive and Natural Computing Algorithms, Warsaw, Poland, ICANNGA 2007, B. Beliczynski et al. (Eds.), Part I, LNCS 4431, Springer-Verlag, pp. 220-229, 2007. (best paper award)

  12. Oltean Mihai, A-Brain: a general system for solving data analysis problems, Journal of Experimental and Theoretical Artificial Intelligence, Taylor & Francis, Vol. 19, pp. 333-353, 2007.

  13. Dioșan L, Oltean Mihai, (et al.), Improving SVM Performance using a Linear Combination of Kernels, International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, B. Beliczynski et al. (Eds.), Part II, LNCS 4432, Springer-Verlag, pp. 218-227, 2007.

2006

  1. Oltean Mihai, A light-based device for solving the Hamiltonian path problem, Unconventional Computing, Calude C. (et al.)(Eds), LNCS 4135, pp. 217-227, Springer-Verlag, 2006, [ppt], [html].

  2. Oltean Mihai, Switchable Glass: A possible medium for Evolvable Hardware, NASA conference on Adaptive Hardware Systems, Stoica A., et al. (Eds), pp. 81-87, IEEE CS Press, 2006.

  3. Dioșan L., Oltean Mihai, Evolving crossover operators for function optimization, European Conference on Genetic Programming, LNCS 3905, pp. 97-108, Springer-Verlag, 2006 (best paper nominee).

  4. Dioșan L., Oltean Mihai, Evolving the structure of the Particle Swarm Optimization algorithms, European Conference on Evolutionary Computation in Combinatorial Optimization, LNCS 3906, pp. 25-36, Springer-Verlag, 2006.

  5. Oltean Mihai, A-Brain: the multiple problems solver, ACM Symposium on Applied Computing, pp. 955-959, ACM Press, 2006.

2005

  1. Oltean Mihai, Evolving Evolutionary Algorithms using Linear Genetic Programming, Evolutionary Computation, MIT Press, Vol. 13, Issue 3, pp. 387-410, 2005.

  2. Groșan C., Oltean Mihai, Adaptive Representation for Single Objective Optimization, Soft Computing, Springer-Verlag, Vol. 9(8): pp. 594-605, 2005.

  3. Oltean Mihai, Evolving reversible circuits for the even-parity problem, EvoHOT workshop, Lausanne, Switzerland, Applications of Evolutionary Computing, Rothlauf, F.; Branke, J.; Cagnoni, S.; Corne, D.W.; Drechsler, R.; Jin, Y.; Machado, P.; Marchiori, E.; Romero, J.; Smith, G.D.; Squillero, G. (Eds.) LNCS 3449, pp. 225-234, Springer-Verlag, Berlin, 2005.

  4. Dumitrescu D., Groșan C., Oltean Mihai, Evolving Continuous Pareto Regions, Evolutionary Computation Based Multi-Criteria Optimization: Theoretical Advances and Applications, edited by A. Abraham, L. Jain and R. Goldberg, Springer-Verlag, London, pp. 167-199, 2005.

  5. Oltean Mihai, Abraham Ajith, Groșan Crina, Koppen M, Multiobjective optimization using adaptive pareto archived evolution strategy, Proceedings - 5th International Conference on Intelligent Systems Design and Applications, ISDA '05, pp. 558-563, IEEE Computer Society Press, 2005.

2004

  1. Oltean Mihai, A Practical Evidence for the No Free Lunch Theorems, BioInspired Approaches to Advanced Information Technology, BioADIT'04, Lausanne, Switzerland, 29-31 January, edited by A. Ijspeert (et al), pp. 382-388, 2004.

  2. Oltean Mihai, Searching for a Practical Evidence for the No Free Lunch Theorems, BioInspired Approaches to Advanced Information Technology, BioADIT'04, Lausanne, Switzerland, 29-31 January, edited by A. Ijspeert (et al), LNCS 3141, pp. 472-483, Springer-Verlag, Berlin, 2004.

  3. Oltean Mihai (et al.), Evolving Digital Circuits for the Knapsack Problem, International Conference on Computational Sciences, E-HARD Workshop, 6-9 June, Krakow, Poland, Edited by M. Bubak, G. D. van Albada, P.Sloot, and J. Dongarra, Vol. III, pp. 1257-1264,  Springer-Verlag, Berlin, 2004.

  4. Oltean M., Solving Even-Parity Problems using Traceless Genetic Programming, IEEE Congress on Evolutionary Computation, Portland, 19-23 June, edited by G. Greenwood (et. al), pp. 1813-1819, IEEE Press, 2004 [source code].

  5. Oltean Mihai (et al.), Encoding Multiple Solutions in a Linear GP Chromosome, International Conference on Computational Sciences, E-HARD Workshop, 6-9 June, Krakow, Poland, Edited by M. Bubak, G. D. van Albada, P.Sloot, and J. Dongarra, Vol. III, pp. 1281-1288, Springer-Verlag, Berlin, 2004.

  6. Oltean Mihai, Evolving Winning Strategies for Nim-like Games, World Computer Congress, Student Forum, 26-29 August, Toulouse, France, edited by Mohamed Kaaniche, pp. 353-364, Kluwer Academic Publisher, 2004.

  7. Oltean Mihai, Solving Classification Problems using Traceless Genetic Programming, World Computer Congress, The Symposium on Professional Practice in AI, 26-29 August, Toulouse, France, edited by E. Mercier-Laurent, J. Debenham, pp. 403-412, 2004 [source code].

  8. Oltean Mihai, Dumitrescu, D., Evolving TSP Heuristics using Multi Expression Programming, International Conference on Computational Sciences, ICCS'04, 6-9 June, Krakow, Poland, Edited by M. Bubak, G.van Albada, P. Sloot, and J. Dongarra, Vol. II, pp. 670-673, Springer-Verlag, Berlin, 2004 [website, source code].

  9. Oltean Mihai, Dumitrescu, D., A Permutation based Approach for the 2-D Cutting Stock Problem, First International Industrial Conference Bionik 2004, 22-23 April, Hanover, Germany, Edited by I. Boblan, and R. Bannasch, pp. 73-80, 2004.

  10. Oltean Mihai, Improving the Search by Encoding Multiple Solutions in a Chromosome, contributed chapter, Evolutionary Machine Design, pp. 85-110, Nova Science Publisher, New-York, edited by Nadia Nedjah (et. al).

  11. Oltean Mihai, Improving Multi Expression Programming: an Ascending Trail from Sea-level Even-3-parity Problem to Alpine Even-18-Parity Problem, contributed chapter, Evolvable Machines: Theory and Practice, edited by Nadia Nedjah (et. al), pp. 229-255, Springer-Verlag, Berlin, 2004 [website, source code].

  12. Oltean Mihai, Groșan C., Evolving Digital Circuits using Multi Expression Programming, NASA/DoD Conference on Evolvable Hardware, 24-26 June, Seattle, Edited by R. Zebulum, D. Gwaltney, G. Horbny, D. Keymeulen, J. Lohn, A. Stoica, pp. 87-90, IEEE Press, NJ, 2004 [website, source code].

  13. Groșan C., Oltean Mihai, Improving the Performance of Evolutionary Algorithms for the Multiobjective 0/1 Knapsack Problem Using Epsilon-Dominance, International Conference on Computational Sciences, ICCS'04, Edited by M. Bubak, G. D. van Albada, P. Sloot, and J. Dongarra, Vol II, pp. 674-677, 6-9 June, Krakow, Poland, 2004.

  14. Oltean Mihai, Sas Laura, A Comparison of Genetic Programming and Statistical Methods for Solving Prediction Problems, International Conference on Computers and Communications, ICCC, pp. 310-314, 2004.

  15. Oltean Mihai, New Evolutionary Computation Models and their Applications to Machine Learning, PhD thesis, Babeș-Bolyai University, scientific adviser: prof. Dumitrescu D., defended on December 2004.

2003

  1. Oltean Mihai, Groșan C., A Comparison of Several Linear Genetic Programming Techniques, Complex-Systems, Vol. 14, Nr. 4, pp. 285-313, 2003. [website, source code]

  2. Oltean Mihai, Evolving Evolutionary Algorithms for Function Optimization, Proceedings of the 5th International Workshop on Frontiers in Evolutionary Algorithms, The 7th Joint Conference on Information Sciences, September 26-30, 2003, Research Triangle Park, North Carolina, Edited by Ken Chen (et. al), pp. 295-298, 2003.

  3. Oltean Mihai, Solving Even-Parity Problems using Multi Expression Programming, Proceedings of the 5th International Workshop on Frontiers in Evolutionary Algorithms, The 7th Joint Conference on Information Sciences, September 26-30, 2003, Research Triangle Park, North Carolina, Edited by Ken Chen (et. al), pp. 315-318, 2003.

  4. Oltean Mihai, Groșan C., Evolving Evolutionary Algorithms using Multi Expression Programming, The 7th European Conference on Artificial Life, September 14-17, 2003, Dortmund, Edited by W. Banzhaf (et al), LNAI 2801, pp. 651-658, Springer-Verlag, Berlin, 2003.source code

  5. Oltean Mihai, Groșan C., Solving Classification Problems using Infix Form Genetic Programming, The 5th International Symposium on Intelligent Data Analysis, August 28-30, 2003, Berlin, Edited by M. Berthold (et al), LNCS 2810, pp. 242-252, Springer-Verlag, Berlin, 2003.

  6. Groșan C., Oltean Mihai, Adaptive Representation for Single Objective Optimization, First Balkan Conference on Informatics, 17-20 November 2003, Thessalonica, Greece, edited by Y. Manoulopoulus (et al), pp. 345-355.

  7. Groșan C., Oltean Mihai, Dumitrescu D., Performance metrics for multiobjective optimization evolutionary algorithms, 11th Conference on applied and industrial mathematics, CAIM, Vol. 1, pp, 132-135, 2003.

  8. Groșan C., Oltean Mihai, Oltean Mihaela, An evolutionary approach to geometrical place problems, Acta Universitatis Apulensis. Mathematics - Informatics, Vol. 5, pp. 71-82, 2003.

  9. Groșan C., Oltean Mihai, Oltean Mihaela, The role of elitism in multiobjective optimization with evolutionary algorithms, Acta Universitatis Apulensis. Mathematics - Informatics, Vol. 5, pp. 82-90, 2003.

  10. Groșan C., Oltean Mihai, Oltean Mihaela, A new evolutionary algorithm for the multiobjective 0/1 knapsack problem, Acta Universitatis Apulensis. Mathematics - Informatics, Vol. 6, pp. 233-237, 2003.

2002

  1. Oltean Mihai, Dumitrescu D., Multi Expression Programming, Technical report, Babeș-Bolyai University, 2002.

  2. Oltean Mihai, Groșan Crina, Expressions modeling by using evolutionary techniques, Ginfo, No. 2, Computer Libris Agora, Cluj-Napoca, 2002 (in Romanian).

2001

  1. Dumitrescu D., Oltean Mihai, Theorem proving using Resolution, Proceeding of the Joint Conference on Mathematics and Computer Science, Oradea, 2001.

  2. Dumitrescu D., Groșan Crina, Oltean Mihai, Genetic Chromodynamics for multimodal and multiobjective optimization, Proceeding of the Joint Conference on Mathematics and Computer Science, Oradea 2001,

  3. Oltean Mihai, Groșan Crina, Ordered configurations, Ginfo, Nr. 4, Computer Libris Agora, Cluj-Napoca, 2001, (in Romanian).

  4. Oltean Mihai, Crina Groșan, Evolutionary algorithms, Ginfo, Nr. 8, Computer Libris Agora, Cluj-Napoca, 2001 (in Romanian).

  5. Dumitrescu D., Groșan Crina, Oltean Mihai, Simple Multiobjective Evolutionary Algorithm, Seminar on Computer Science, Babeș- Bolyai University, Cluj-Napoca, pp. 1-12, 2001.

  6. Dumitrescu D., Crina Groșan, Oltean Mihai, Genetic Chromodynamics for Obtaining Continuous Representation of Pareto Regions, Studia Universitas Babeș-Bolyai, Informatica, Volume XLVI, No. 1, pp. 15-30, 2001.

  7. Dumitrescu D., Crina Groșan, Oltean Mihai, A new evolutionary adaptive representation paradigm, Studia Universitas Babeș-Bolyai, Informatica, Volume XLVI, No. 2, pp. 19-28, 2001.

2000

  1. Dumitrescu D., Crina Groșan and Oltean Mihai, A New Evolutionary Approach for Multiobjective Optimization, Studia Universitas Babeș-Bolyai, Informatica, Vol. XLV, No. 1, pp. 51-68, 2000.

  2. Oltean Mihai, Dynamic programming in NP-Complete problems, Ginfo, Nr. 2, Computer Libris Agora, Cluj-Napoca, 2000 (in romanian).

1999

  1. Oltean Mihai, Automatic generation of computer programs, (Generarea automata a programelor de calculator), Undergraduation thesis, Babeș-Bolyai University, scientific adviser: prof. Militon Frențiu, defended on July 1999 (in Romanian).

  2. Dumitrescu D., Oltean Mihai, An Evolutionary Algorithm for Theorem Proving in Propositional Logic, Studia Universitatis Babeș-Bolyai, Informatica, Vol. XLIV, No. 2, pp. 87-98, 1999.

  3. D. Tătar, Oltean Mihai, Theorem proving and DNA computing, Studia Universitatis Babeș-Bolyai Informatica, vol. XLIV, No. 2, pp. 62-71, 1999.

  4. Oltean Mihai, Prime numbers and divisibility, Ginfo, Nr. 2, Computer Libris Agora, Cluj-Napoca.1999, (in Romanian)

  5. Oltean Mihai, Word97 macros, Ginfo, Nr. 8, Computer Libris Agora, Cluj-Napoca, 1999 (in Romanian).

  6. Oltean Mihai, Dirichlet's box principles, Ginfo, Nr. 6, Computer Libris Agora, Cluj-Napoca, 1999 (in Romanian)

  7. Oltean Mihai, Games programming using DirectX Ginfo, Nr. 3, Computer Libris Agora, Cluj-Napoca, 1999 (in Romanian)