Genetic Programming Bibliography entries for Marko Durasevic

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GP coauthors/coeditors: Claude Carlet, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Bruno Gasperov, Karlo Knezevic, Marcella Scoczynski Ribeiro Martins, Markus Wagner, Lucija Planinic, Francisco Javier Gil Gala, Yi Mei, Su Nguyen, Mengjie Zhang, Mateja Dumic, Rebeka Coric, Carlos Artemio Coello Coello, Maria Rita Sierra Sanchez, Ramiro Varela Arias, Sezin Afsar, Juan Jose Palacios, Murat Afsar, Kristijan Jaklinovic, Karla Brkic, Juraj Fosin, Tonci Caric, Davor Davidovic, Juraj Fulir, Alberto Leporati, Hrvoje Backovic, Jesus Quesada, Maria Sierra, Karla Salamun, Ivan Pavic, Hrvoje Dzapo, Ivan Vlasic,

Genetic Programming Articles by Marko Durasevic

  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. details

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

  4. Marko Durasevic and Mateja Dumic. Designing relocation rules with genetic programming for the container relocation problem with multiple bays and container groups. Applied Soft Computing, 150:111104, 2024. details

  5. 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

  6. Karla Salamun and Ivan Pavic and Hrvoje Dzapo and Marko Durasevic. Evolving scheduling heuristics with genetic programming for optimization of quality of service in weakly hard real-time systems. Applied Soft Computing, 137:110141, 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 Mateja Dumic. Corrigendum to ``Automated design of heuristics for the container relocation problem using genetic programming'', [Appl. Soft Comput. 130 (2022) 109696]. Applied Soft Computing, 132:109836, 2023. details

  12. Marko Durasevic and Mateja Dumic. Automated design of heuristics for the container relocation problem using genetic programming. Applied Soft Computing, 130:109696, 2022. details

  13. 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

  14. 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

  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. 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

  17. 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

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

  19. 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

  20. 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

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

Genetic Programming conference papers by Marko Durasevic

  1. 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

  2. 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

  3. Jesus Quesada and Francisco Javier Gil-Gala and Marko Durasevic and Maria Sierra and Ramiro Varela. An Analysis of Heuristic Templates in Genetic Programming for One-Dimensional Cutting and Packing Problems. 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 623-626, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. 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

  5. Francisco Javier Gil-Gala and Sezin Afsar and Marko Durasevic and Juan Jose Palacios and Murat Afsar. Genetic Programming for the Vehicle Routing Problem with Zone-Based Pricing. 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 1118-1126, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  6. Marko Durasevic and Mateja Dumic and Rebeka Coric and Francisco Javier Gil-Gala. Automated Design of Relocation Rules for Minimising Energy Consumption in the Container Relocation 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 523-526, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  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. Francisco J. Gil-Gala and Marko Durasevic and Maria R. Sierra and Ramiro Varela. Building Heuristics and Ensembles for the Travel Salesman Problem. 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 130-139, Puerto de la Cruz, Tenerife, Spain, 2022. Springer. details

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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