Genetic Programming Bibliography entries for Domagoj Jakobovic

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GP coauthors/coeditors: Iva Brajer, Claude Carlet, Stjepan Picek, Marko Durasevic, Luca Mariot, Bruno Gasperov, Rebeka Coric, Mateja Dumic, Dominik Sisejkovic, Karlo Knezevic, Marcella Scoczynski Ribeiro Martins, Markus Wagner, Lucija Planinic, Francisco Javier Gil Gala, Yi Mei, Su Nguyen, Mengjie Zhang, Carlos Artemio Coello Coello, Nikolina Frid, Toni Frankola, Marin Golub, Ramiro Varela Arias, Matija Gulic, Josip Hrvatic, Kristijan Jaklinovic, Leo Budin, Leonardo Jelenkovic, Luca Manzoni, Kristina Marasovic, Mauro Castelli, Karla Brkic, Juraj Fosin, Tonci Caric, Davor Davidovic, Eric Medvet, Gisele L Pappa, Leonardo Trujillo, Juraj Fulir, Alberto Leporati, Lovro Paic-Antunovic, Julian F Miller, Elena Marchiori, Lejla Batina, Sylvain Guilley, Bohan Yang, Nele Mentens, Erik Hemberg, Una-May O'Reilly, Ante Derek, Hrvoje Backovic, Ivan Vlasic,

Genetic Programming Articles by Domagoj Jakobovic

  1. Marko Durasevic and Domagoj Jakobovic. Heuristic Ensemble Construction Methods of Automatically Designed Dispatching Rules for the Unrelated Machines Environment. Axioms, 13(1):Article No. 37, 2024. details

  2. Marko Durasevic and Domagoj Jakobovic and Stjepan Picek and Luca Mariot. Assessing the Ability of Genetic Programming for Feature Selection in Constructing Dispatching Rules for Unrelated Machine Environments. Algorithms, 17(2):Article No. 67, 2024. Special Issue Algorithms for Feature Selection (2nd Edition). details

  3. Domagoj Jakobovic and Eric Medvet and Gisele L. Pappa and Leonardo Trujillo. Introduction to special issue on highlights of genetic programming 2022 events. Genetic Programming and Evolvable Machines, 25:Article no 1, 2024. EditorialOnline first. details

  4. Domagoj Jakobovic and Marko Durasevic and Stjepan Picek and Bruno Gasperov. ECF: A C++ framework for evolutionary computation. SoftwareX, 27:101640, 2024. details

  5. Francisco J. Gil-Gala and Marko Durasevic and Domagoj Jakobovic. Evolving routing policies for electric vehicles by means of genetic programming. Applied Intelligence, 54:12391-12419, 2024. details

  6. Domagoj Jakobovic and Marko Durasevic and Karla Brkic and Juraj Fosin and Tonci Caric and Davor Davidovic. Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming. Algorithms, 16(6):Article No. 285, 2023. details

  7. Karlo Knezevic and Juraj Fulir and Domagoj Jakobovic and Stjepan Picek and Marko Durasevic. NeuroSCA: Evolving Activation Functions for Side-Channel Analysis. IEEE Access, 11:284-299, 2023. details

  8. Francisco J. Gil-Gala and Marko Durasevic and Ramiro Varela and Domagoj Jakobovic. Ensembles of priority rules to solve one machine scheduling problem in real-time. Information Sciences, 634:340-358, 2023. details

  9. Marko Durasevic and Francisco Javier Gil-Gala and Domagoj Jakobovic and Carlos A. Coello Coello. Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment. Swarm and Evolutionary Computation, 80:101318, 2023. details

  10. Marko Durasevic and Francisco Javier Gil-Gala and Lucija Planinic and Domagoj Jakobovic. Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment. Engineering Applications of Artificial Intelligence, 122:106096, 2023. details

  11. Marko Durasevic and Domagoj Jakobovic. Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics. Journal of Computational Science, 61:101649, 2022. details

  12. Mateja Dumic and Domagoj Jakobovic. Using priority rules for resource-constrained project scheduling problem in static environment. Computer \& Industrial Engineering, 169:108239, 2022. details

  13. Lucija Planinic and Hrvoje Backovic and Marko Durasevic and Domagoj Jakobovic. A Comparative Study of Dispatching Rule Representations in Evolutionary Algorithms for the Dynamic Unrelated Machines Environment. IEEE Access, 10:22886-22901, 2022. details

  14. Luca Mariot and Stjepan Picek and Domagoj Jakobovic and Alberto Leporati. Evolutionary algorithms for designing reversible cellular automata. Genetic Programming and Evolvable Machines, 22(4):429-461, 2021. Special Issue: Highlights of Genetic Programming 2020 Events. details

  15. Kristijan Jaklinovic and Marko Durasevic and Domagoj Jakobovic. Designing dispatching rules with genetic programming for the unrelated machines environment with constraints. Expert Systems with Applications, 172:114548, 2021. details

  16. Mateja Dumic and Domagoj Jakobovic. Ensembles of priority rules for resource constrained project scheduling problem. Applied Soft Computing, 110:107606, 2021. details

  17. Rebeka Coric and Mateja DHumic and Domagoj Jakobovic. Genetic programming hyperheuristic parameter configuration using fitness landscape analysis. Applied Intelligence, 51(10):7402-7426, 2021. details

  18. Marko Durasevic and Domagoj Jakobovic. Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment. Applied Soft Computing, 96:106637, 2020. details

  19. Ivan Vlasic and Marko Durasevic and Domagoj Jakobovic. Improving genetic algorithm performance by population initialisation with dispatching rules. Computer \& Industrial Engineering, 137:106030, 2019. details

  20. Luca Mariot and Stjepan Picek and Alberto Leporati and Domagoj Jakobovic. Cellular automata based S-boxes. Cryptography and communications, 11(1):41-62, 2019. Special Issue on Boolean Functions and Their Applications. details

  21. Marko Durasevic and Domagoj Jakobovic. Creating dispatching rules by simple ensemble combination. Journal of Heuristics, 25(6):959-1013, 2019. details

  22. Marko Durasevic and Domagoj Jakobovic. Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment. Genetic Programming and Evolvable Machines, 19(1-2):9-51, 2018. Special Issue on Automated Design and Adaptation of Heuristics for Scheduling and Combinatorial Optimisation. details

  23. Marko Durasevic and Domagoj Jakobovic. Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment. Genetic Programming and Evolvable Machines, 19(1-2):53-92, 2018. Special Issue on Automated Design and Adaptation of Heuristics for Scheduling and Combinatorial Optimisation. details

  24. Mateja Dumic and Dominik Sisejkovic and Rebeka Coric and Domagoj Jakobovic. Evolving priority rules for resource constrained project scheduling problem with genetic programming. Future Generation Computer Systems, 86:211-221, 2018. details

  25. Stjepan Picek and Claude Carlet and Sylvain Guilley and Julian F. Miller and Domagoj Jakobovic. Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography. Evolutionary Computation, 24(4):667-694, 2016. details

  26. Marko Durasevic and Domagoj Jakobovic and Karlo Knezevic. Adaptive scheduling on unrelated machines with genetic programming. Applied Soft Computing, 48:419-430, 2016. details

  27. Domagoj Jakobovic and Kristina Marasovic. Evolving priority scheduling heuristics with genetic programming. Applied Soft Computing, 12(9):2781-2789, 2012. details

Genetic Programming PhD doctoral thesis Domagoj Jakobovic

Genetic Programming conference papers by Domagoj Jakobovic

  1. Josip Hrvatic and Marko Durasevic and Francisco Javier Gil Gala and Domagoj Jakobovic. Can Mutations Replace Local Search? Studying the Effect of Repeated Genetic Programming Operators in the Unrelated Machines Environment. In Pierrick Legrand editor, Artificial Evolution, EA-2024, Bordeaux, France, 2024. details

  2. Marko Durasevic and Mateja Dumic and Francisco Javier Gil-Gala and Nikolina Frid and Domagoj Jakobovic. Improving the performance of relocation rules for the container relocation problem with the rollout algorithm. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  3. Claude Carlet and Marko Durasevic and Bruno Gasperov and Domagoj Jakobovic and Luca Mariot and Stjepan Picek. A New Angle: On Evolving Rotation Symmetric Boolean Functions. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14634, pages 287-302, Aberystwyth, 2024. Springer. details

  4. Claude Carlet and Marko Durasevic and Domagoj Jakobovic and Luca Mariot and Stjepan Picek. Look into the Mirror: Evolving Self-dual Bent Boolean Functions. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 161-175, Aberystwyth, 2024. Springer. details

  5. Francisco Javier Gil Gala and Marko Durasevic and Mateja Dumic and Rebeka Coric and Domagoj Jakobovic. An Analysis of Training Models to Evolve Heuristics for the Travelling Salesman Problem. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 575-578, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  6. Marko Durasevic and Francisco Javier Gil-Gala and Domagoj Jakobovi\'c. Does Size Matter? On the Influence of Ensemble Size on Constructing Ensembles of Dispatching Rules. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 559-562, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  7. Marko Durasevic and Francisco Javier Gil-Gala and Domagoj Jakobovic. Divide and Conquer: Using Single Objective Dispatching Rules to Improve Convergence for Multi-Objective Optimisation. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1082-1090, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  8. Marko Durasevic and Francisco Javier Gil-Gala and Domagoj Jakobovic. To bias or not to bias: Probabilistic initialisation for evolving dispatching rules. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 308-323, Brno, Czech Republic, 2023. Springer Verlag. details

  9. Francisco Javier Gil Gala and Marko Durasevic and Domagoj Jakobovic. Genetic programming for electric vehicle routing problem with soft time windows. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 542-545, Boston, USA, 2022. Association for Computing Machinery. details

  10. Marko Durasevic and Lucija Planinic and Francisco Javier Gil Gala and Domagoj Jakobovic. Novel ensemble collaboration method for dynamic scheduling problems. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 893-901, Boston, USA, 2022. Association for Computing Machinery. details

  11. Claude Carlet and Domagoj Jakobovic and Stjepan Picek. On Generalizing the Power Function Exponent Constructions with Genetic Programming. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 691-694, Boston, USA, 2022. Association for Computing Machinery. details

  12. Claude Carlet and Marko Djurasevic and Domagoj Jakobovic and Luca Mariot and Stjepan Picek. Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 1147-1155, Boston, USA, 2022. Association for Computing Machinery. details

  13. Luca Mariot and Stjepan Picek and Domagoj Jakobovic and Marko Djurasevic and Alberto Leporati. Evolutionary Construction of Perfectly Balanced Boolean Functions. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  14. Marko Durasevic and Domagoj Jakobovic and Yi Mei and Su Nguyen and Mengjie Zhang. Introduction to automated design of scheduling heuristics with genetic programming. In Jonathan E. Fieldsend and Markus Wagner editors, GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9 - 13, 2022, pages 1506-1526, 2022. ACM. Tutorial. details

  15. Marko Durasevic and Lucija Planinic and Francisco J. Gil-Gala and Domagoj Jakobovic. Constructing Ensembles of Dispatching Rules for Multi-objective Problems. In Jose Manuel Ferrandez Vicente and Jose Ramon Alvarez-Sanchez and Felix de la Paz Lopez and Hojjat Adeli editors, Proceedings of the 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Part II, volume 13259, pages 119-129, Puerto de la Cruz, Tenerife, Spain, 2022. Springer. details

  16. Lucija Planinic and Marko Durasevic and Domagoj Jakobovic. On the Application of e-Lexicase Selection in the Generation of Dispatching Rules. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 2125-2132, Krakow, Poland, 2021. details

  17. Domagoj Jakobovic and Luca Manzoni and Luca Mariot and Stjepan Picek and Mauro Castelli. CoInGP: Convolutional Inpainting with Genetic Programming. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 795-803, internet, 2021. Association for Computing Machinery. details

  18. Claude Carlet and Domagoj Jakobovic and Stjepan Picek. Evolutionary Algorithms-assisted Construction of Cryptographic Boolean Functions. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 565-573, internet, 2021. Association for Computing Machinery. details

  19. Lucija Planinic and Marko Durasevic and Domagoj Jakobovic. Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 2021. details

  20. Stjepan Picek and Domagoj Jakobovic. Evolutionary Computation and Machine Learning in Cryptology. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 1147-1173, internet, 2020. Association for Computing Machinery. Tutorial. details

  21. Luca Mariot and Stjepan Picek and Domagoj Jakobovic and Alberto Leporati. An Evolutionary View on Reversible Shift-invariant Transformations. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 118-134, Seville, Spain, 2020. Springer Verlag. details

  22. Luca Manzoni and Domagoj Jakobovic and Luca Mariot and Stjepan Picek and Mauro Castelli. Towards an Evolutionary-Based Approach for Natural Language Processing. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 985-993, internet, 2020. Association for Computing Machinery. details

  23. Marko Durasevic and Domagoj Jakobovic and Marcella Martins and Stjepan Picek and Markus Wagner. Fitness landscape analysis of dimensionally-aware genetic programming featuring Feynman equations. In Thomas Baeck and Mike Preuss and Andre Deutz and Hao Wang2 and Carola Doerr and Michael Emmerich and Heike Trautmann editors, 16th International Conference on Parallel Problem Solving from Nature, Part II, volume 12270, pages 111-124, Leiden, Holland, 2020. Springer. details

  24. Marko Djurasevic and Domagoj Jakobovic and Stjepan Picek. One Property to Rule Them All? On the Limits of Trade-Offs for S-Boxes. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 1064-1072, internet, 2020. Association for Computing Machinery. details

  25. Stjepan Picek and Karlo Knezevic and Domagoj Jakobovic and Ante Derek. C3PO: cipher construction with cartesian genetic programming. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1625-1633, Prague, Czech Republic, 2019. ACM. details

  26. Stjepan Picek and Domagoj Jakobovic. On the design of S-box constructions with genetic programming. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 395-396, Prague, Czech Republic, 2019. ACM. details

  27. Luca Mariot and Domagoj Jakobovic and Alberto Leporati and Stjepan Picek. Hyper-bent Boolean Functions and Evolutionary Algorithms. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 262-277, Leipzig, Germany, 2019. Springer Verlag. details

  28. Stjepan Picek and Karlo Knezevic and Luca Mariot and Domagoj Jakobovic and Alberto Leporati. Evolving Bent Quaternary Functions. In 2018 IEEE Congress on Evolutionary Computation (CEC), 2018. details

  29. Stjepan Picek and Karlo Knezevic and Domagoj Jakobovic. On the evolution of bent (n, m) functions. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 2137-2144, Donostia, San Sebastian, Spain, 2017. IEEE. details

  30. Stjepan Picek and Erik Hemberg and Domagoj Jakobovic and Una-May O'Reilly. One-Class Classification of Low Volume DoS Attacks with Genetic Programming. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 149-168, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  31. Stjepan Picek and Luca Mariot and Alberto Leporati and Domagoj Jakobovic. Evolving S-boxes Based on Cellular Automata with Genetic Programming. In Proceedings of GECCO 2017 Companion, pages 251-252, Berlin, 2017. ACM. details

  32. Stjepan Picek and Luca Mariot and Bohan Yang and Domagoj Jakobovic and Nele Mentens. Design of S-boxes Defined with Cellular Automata Rules. In Proceedings of the Computing Frontiers Conference, CF 2017, pages 409-414, Siena, Italy, 2017. ACM. details

  33. Luca Mariot and Stjepan Picek and Domagoj Jakobovic and Alberto Leporati. Evolutionary Algorithms for the Design of Orthogonal Latin Squares Based on Cellular Automata. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 306-313, Berlin, Germany, 2017. ACM. details

  34. Stjepan Picek and Domagoj Jakobovic. Evolving Algebraic Constructions for Designing Bent Boolean Functions. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 781-788, Denver, USA, 2016. ACM. details

  35. Stjepan Picek and Julian F. Miller and Domagoj Jakobovic and Lejla Batina. Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different Sizes. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1457-1458, Madrid, Spain, 2015. ACM. details

  36. Stjepan Picek and Claude Carlet and Domagoj Jakobovic and Julian F. Miller and Lejla Batina. Correlation Immunity of Boolean Functions: An Evolutionary Algorithms Perspective. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1095-1102, Madrid, Spain, 2015. ACM. details

  37. Stjepan Picek and Domagoj Jakobovic and Julian F. Miller and Elena Marchiori and Lejla Batina. Evolutionary Methods for the Construction of Cryptographic Boolean Functions. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 192-204, Copenhagen, 2015. Springer. details

  38. Stjepan Picek and Domagoj Jakobovic and Marin Golub. Evolving cryptographically sound boolean functions. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 191-192, Amsterdam, The Netherlands, 2013. ACM. details

  39. Matija Gulic and Domagoj Jakobovic. Evolution of vehicle routing problem heuristics with genetic programming. In 36th International Convention on Information Communication Technology Electronics Microelectronics (MIPRO 2013), pages 988-992, 2013. details

  40. Lovro Paic-Antunovic and Domagoj Jakobovic. Evolution of automatic robot control with genetic programming. In Proceedings of the 35th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2012), pages 817-822, Opatija, Croatia, 2012. details

  41. Iva Brajer and Domagoj Jakobovic. Automated design of combinatorial logic circuits. In Proceedings of the 35th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2012), pages 823-828, Opatija, Croatia, 2012. details

  42. Toni Frankola and Marin Golub and Domagoj Jakobovic. Evolutionary algorithms for the resource constrained scheduling problem. In 30th International Conference on Information Technology Interfaces, ITI 2008, pages 715-722, 2008. details

  43. Domagoj Jakobovic and Leonardo Jelenkovic and Leo Budin. Genetic Programming Heuristics for Multiple Machine Scheduling. In Marc Ebner and Michael O'Neill and Aniko Ekart and Leonardo Vanneschi and Anna Isabel Esparcia-Alcazar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 321-330, Valencia, Spain, 2007. Springer. details

  44. Domagoj Jakobovic and Leo Budin. Dynamic Scheduling with Genetic Programming. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 73-84, Budapest, Hungary, 2006. Springer. details

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