Rafał Dreżewski

[104]: Shoffan Saifullah and Rafał Dreżewski. Automatic brain tumor segmentation using convolutional neural networks: U-Net framework with PSO-tuned hyperparameters. In Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tušar, Penousal Machado, and Thomas Bäck, editors, Parallel Problem Solving from Nature – PPSN XVIII, pages 333–351, Cham, 2024. Springer Nature Switzerland. [ DOI ]
[103]: Shoffan Saifullah and Rafał Dreżewski. Improved brain tumor segmentation using modified U-Net based on Particle Swarm Optimization image enhancement. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO '24 Companion, pages 611–614, New York, NY, USA, 2024. Association for Computing Machinery. [ DOI ]
[102]: Shoffan Saifullah, Nur Heri Cahyana, Yuli Fauziah, Agus Sasmito Aribowo, Felix Andika Dwiyanto, and Rafal Drezewski. Text annotation automation for hate speech detection using svm-classifier based on feature extraction. AIP Conference Proceedings, 3167(1):040003, 2024. 2nd International Conference Series on Science, Engineering, And Technology (ICSSET) 2022 22 June 2022, Sidoarjo, Indonesia. [ DOI ]
[101]: Aji Prasetya Wibawa, AH. Rofi'uddin, Rafał Dreżewski, Ilham Ari Elbaith Zaeni, Irfan Zuhdi Abdillah, Triyanti Simbolon, Fabyan Raif Erlangga, and Agung Bella Putra Utama. The role of automated classification in preserving indonesian folk and national songs. In Norbert A. Streitz and Shin'ichi Konomi, editors, Distributed, Ambient and Pervasive Interactions. 12th International Conference, DAPI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, pages 288–306, Cham, 2024. Springer Nature Switzerland. [ DOI ]
[100]: Roman Dębski and Rafał Dreżewski. Multi-objective ship route optimisation using estimation of distribution algorithm. Applied Sciences, 14(13), 2024. [ DOI ]
[99]: Shoffan Saifullah and Rafał Dreżewski. Enhancing breast cancer diagnosis: A CNN-based approach for medical image segmentation and classification. In Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, and Peter M. A. Sloot, editors, Computational Science – ICCS 2024, pages 155–162, Cham, 2024. Springer Nature Switzerland. [ DOI ]
[98]: Shoffan Saifullah and Rafał Dreżewski. Brain tumor segmentation using ensemble CNN-transfer learning models: DeepLabV3plus and ResNet50 approach. In Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, and Peter M. A. Sloot, editors, Computational Science – ICCS 2024, pages 340–354, Cham, 2024. Springer Nature Switzerland. [ DOI ]
[97]: Shoffan Saifullah and Rafał Dreżewski. Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach. International Journal of Electrical and Computer Engineering (IJECE), 14(3):2583–2591, 2024. [ DOI ]
[96]: Shoffan Saifullah, Andri Pranolo, and Rafał Dreżewski. Comparative analysis of image enhancement techniques for braintumor segmentation: contrast, histogram, and hybrid approaches. In E3S Web of Conferences. International Conference on Computer Science Electronics and Information (ICCSEI 2023), volume 501, page 01020, 2024. [ DOI | .html ]
[95]: Shoffan Saifullah, Andiko Putro Suryotomo, Rafał Dreżewski, Radius Tanone, and Tundo Tundo. Optimizing brain tumor segmentation through CNN U-Net with CLAHE-HE image enhancement. In Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023), pages 90–101. Atlantis Press, 2024. [ DOI ]
[94]: Shoffan Saifullah, Rafał Dreżewski, Felix Andika Dwiyanto, Agus Sasmito Aribowo, Yuli Fauziah, and Nur Heri Cahyana. Automated text annotation using a semi-supervised approach with meta vectorizer and machine learning algorithms for hate speech detection. Applied Sciences, 14(3), 2024. [ DOI ]
[93]: Shoffan Saifullah and Rafał Dreżewski. Advanced medical image segmentation enhancement: A particle-swarm-optimization-based histogram equalization approach. Applied Sciences, 14(2), 2024. [ DOI ]
[92]: Felix Andika Dwiyanto, Rafał Dreżewski, and Aji Prasetya Wibawa. Dealing with COVID-19 using deep learning for computer vision. In Aji Prasetya Wibawa, editor, The Spirit of Recovery: IT Perspectives, Experiences, and Applications during the COVID-19 Pandemic. CRC Press, 2024. [ DOI ]
[91]: Suhirman, Shoffan Saifullah, Ahmad Tri Hidayat, M. Apriandi Kusuma, and Rafał Dreżewski. Real-time mask-wearing detection in video streams using deep convolutional neural networks for face recognition. International Journal of Electrical and Computer Engineering (IJECE), 14(1):1005–1014, 2024. [ DOI ]
[90]: Shoffan Saifullah and Rafał Dreżewski. Modified histogram equalization for improved CNN medical image segmentation. Procedia Computer Science, 225:3021–3030, 2023. 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023). [ DOI ]
[89]: Shofan Saifullah, Dessyanto Boedi Prasetyo, Indahyani, Rafał Dreżewski, and Felix Andika Dwiyanto. Palm oil maturity classification using K-Nearest Neighbors based on RGB and L*a*b color extraction. Procedia Computer Science, 225:3011–3020, 2023. 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023). [ DOI ]
[88]: Herlina Jayadianti, Berliana Arianti, Nur Cahyana, Shoffan Saifullah, and Rafał Dreżewski. Improving sentiment analysis on PeduliLindungi comments: a comparative study with CNN-Word2Vec and integrated negation handling. Science in Information Technology Letters, 4(2):75–89, 2023. [ DOI ]
[87]: Shoffan Saifullah, Bambang Yuwono, Heru Cahya Rustamaji, Bayu Saputra, Felix Andika Dwiyanto, and Rafał Dreżewski. Detection of chest x-ray abnormalities using CNN based on hyperparameter optimization. Engineering Proceedings, 56(1), 2023. [ DOI ]
[86]: Shoffan Saifullah, Rafal Drezewski, Anton Yudhana, Andri Pranolo, Wilis Kaswijanti, Andiko Putro Suryotomo, Seno Aji Putra, Alin Khaliduzzaman, Anton Satria Prabuwono, and Nathalie Japkowicz. Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms. Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), 9(3):854–871, 2023. [ DOI ]
[85]: Shoffan Saifullah, Rafał Dreżewski, Felix Andika Dwiyanto, Agus Sasmito Aribowo, and Yuli Fauziah. Sentiment analysis using machine learning approach based on feature extraction for anxiety detection. In Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, and Peter M.A. Sloot, editors, Computational Science – ICCS 2023, pages 365–372, Cham, 2023. Springer Nature Switzerland. [ DOI ]
[84]: Roman Dębski and Rafał Dreżewski. Surrogate-assisted ship route optimisation. In Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, and Peter M.A. Sloot, editors, Computational Science – ICCS 2023, pages 395–409, Cham, 2023. Springer Nature Switzerland. [ DOI ]
[83]: Shoffan Saifullah and Rafał Dreżewski. Enhanced medical image segmentation using CNN based on histogram equalization. In 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pages 121–126, 2023. [ DOI ]
[82]: Herlina Jayadianti, Budi Santosa, Judanti Cahyaning, Shoffan Saifullah, and Rafal Drezewski. Essay auto-scoring using N-Gram and Jaro Winkler based indonesian typos. MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, 22(2):325–338, 2023. [ DOI ]
[81]: Herlina Jayadianti, Wilis Kaswidjanti, Agung Utomo, Shoffan Saifullah, Felix Andika Dwiyanto, and Rafal Drezewski. Sentiment analysis of indonesian reviews using fine-tuning IndoBERT and R-CNN. ILKOM Jurnal Ilmiah, 14(3):348–354, 2022. [ DOI ]
[80]: Magdalena Badura, Michał Lampert, and Rafał Dreżewski. System supporting poetry generation using text generation and style transfer methods. Procedia Computer Science, 207:3310–3319, 2022. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022. [ DOI ]
[79]: Shofan Saifullah and Rafał Dreżewski. Non-destructive egg fertility detection in incubation using SVM classifier based on GLCM parameters. Procedia Computer Science, 207:3254–3263, 2022. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022. [ DOI ]
[78]: Roman Dębski and Rafał Dreżewski. Real-time surrogate-assisted preprocessing of streaming sensor data. Computer Networks, 219:109422, 2022. [ DOI ]
[77]: Nur Heri Cahyana, Shoffan Saifullah, Yuli Fauziah, Agus Sasmito Aribowo, and Rafał Dreżewski. Semi-supervised text annotation for hate speech detection using K-Nearest Neighbors and Term Frequency-Inverse document frequency. International Journal of Advanced Computer Science and Applications, 13(10), 2022. [ DOI ]
[76]: Shoffan Saifullah, Rafał Dreżewski, Alin Khaliduzzaman, Lean Karlo Tolentino, and Rabbimov Ilyos. K-Means segmentation based-on Lab color space for embryo detection in incubated egg. Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, 8(2):175–185, 2022. [ DOI ]
[75]: Roman Dębski and Rafał Dreżewski. Adaptive surrogate-assisted optimal sailboat path search using onboard computers. In Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, and Peter M. A. Sloot, editors, Computational Science – ICCS 2022, pages 355–368, Cham, 2022. Springer International Publishing. [ DOI ]
[74]: Roman Dębski and Rafał Dreżewski. Adaptive segmentation of streaming sensor data on edge devices. Sensors, 21(20), 2021. [ DOI ]
[73]: Rafał Dreżewski and Grzegorz Wątor. Chess as sequential data in a chess match outcome prediction using deep learning with various chessboard representations. Procedia Computer Science, 192:1760–1769, 2021. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021. [ DOI ]
[72]: Rafał Dreżewski and Jakub Solawa. The application of selected modern artificial intelligence techniques in an exemplary strategy game. Procedia Computer Science, 192:1914–1923, 2021. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021. [ DOI ]
[71]: Rafał Dreżewski. Agent-based modeling and simulation of speciation and ecosystem diversity. In Andri Pranolo, Adhi Prahara, Ahmad Azhari, and Agus Aktawan, editors, 2018 International Symposium on Advanced Intelligent Informatics (SAIN). Revolutionize Intelligent Informatics Spectrum for Humanity, August 29–30, 2018, Yogyakarta, Indonesia, pages 210–215. IEEE, 2019. [ DOI ]
[70]: Rafał Dreżewski, Sylwia Kruk, and Maciej Makówka. The evolutionary optimization of a company's return on equity factor: Towards the agent-based bio-inspired system supporting corporate finance decisions. IEEE Access, 6:51911–51930, 2018. [ DOI ]
[69]: Rafał Dreżewski, Grzegorz Dziuban, and Karol Pająk. The bio-inspired optimization of trading strategies and its impact on the efficient market hypothesis and sustainable development strategies. Sustainability, 10(5):1460, 2018. [ DOI ]
[68]: R. Dreżewski. The agent-based model and simulation of sexual selection and pair formation mechanisms. Entropy, 20(5):342, 2018. [ DOI ]
[67]: R. Dreżewski and M. Klęczar. Artificial intelligence techniques for the Puerto Rico strategy game. In G. Jezic, M. Kusek, Y.-H. J. Chen-Burger, R. J. Howlett, and L. C. Jain, editors, Agent and Multi-Agent Systems: Technology and Applications. 11th KES International Conference, KES-AMSTA 2017 Vilamoura, Algarve, Portugal, June 2017 Proceedings, volume 74 of Smart Innovation, Systems and Technologies, pages 77–87, Cham, Switzerland, 2018. Springer International Publishing. [ DOI ]
[66]: R. Dreżewski and K. Doroz. An agent-based co-evolutionary multi-objective algorithm for portfolio optimization. Symmetry, 9(9):168, 2017. [ DOI ]
[65]: L. Siwik and R. Dreżewski. Hierarchical and massively interactive approaches for hybridization of evolutionary computations and agent systems—comparison in financial application. In Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, and Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing. 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part I, volume 9692 of Lecture Notes in Computer Science, pages 505–516. Springer International Publishing, 2016. [ DOI ]
[64]: A. Prahara, A. Pranolo, and R. Dreżewski. GPU accelerated number plate localization in crowded situation. International Journal of Advances in Intelligent Informatics, 1(3):150–157, 2015. [ DOI ]
[63]: A. Byrski, R. Dreżewski, L. Siwik, and M. Kisiel-Dorohinicki. Evolutionary multi-agent systems. The Knowledge Engineering Review, 30(2):171–186, 2015. [ DOI ]
[62]: R. Dreżewski, G. Dziuban, Ł. Hernik, and M. Pączek. Comparison of data mining techniques for money laundering detection system. In Andri Pranolo, Yana Hendriana, Adhi Prahara, and Dewi Pramudi Ismi, editors, Proceedings of the 2015 International Conference on Science in Information Technology (ICSITech). Big Data Spectrum for Future Information Economy. Yogyakarta, October 27th–28th, 2015, pages 5–10. IEEE, 2015. [ DOI ]
[61]: Ł. Wilisowski and R. Dreżewski. The application of co-evolutionary genetic programming and TD(1) reinforcement learning in large-scale strategy game VCMI. In G. Jezic, R. J. Howlett, and L. C. Jain, editors, Agent and Multi-Agent Systems: Technologies and Applications. 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings, volume 38 of Smart Innovation, Systems and Technologies, pages 81–93, Cham, Switzerland, 2015. Springer International Publishing. [ DOI ]
[60]: R. Dreżewski, J. Sepielak, and W. Filipkowski. The application of social network analysis algorithms in a system supporting money laundering detection. Information Sciences, 295:18–32, 2015. [ DOI ]
[59]: R. Dreżewski. Agent-based simulation model of sexual selection mechanism. In G. Jezic, R. J. Howlett, and L. C. Jain, editors, Agent and Multi-Agent Systems: Technologies and Applications. 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings, volume 38 of Smart Innovation, Systems and Technologies, pages 155–166, Cham, Switzerland, 2015. Springer International Publishing. [ DOI ]
[58]: R. Dreżewski, K. Cetnarowicz, G. Dziuban, S. Martynuska, and A. Byrski. Agent-based neuro-evolution algorithm. In G. Jezic, R. J. Howlett, and L. C. Jain, editors, Agent and Multi-Agent Systems: Technologies and Applications. 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings, volume 38 of Smart Innovation, Systems and Technologies, pages 95–108, Cham, Switzerland, 2015. Springer International Publishing. [ DOI ]
[57]: L. Siwik and R. Dreżewski. Evolutionary multi-modal optimization with the use of multi-objective techniques. In Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, and Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing. 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I, volume 8467 of Lecture Notes in Computer Science, pages 428–439. Springer International Publishing, 2014. [ DOI ]
[56]: A. Golik, M. Golik, and R. Dreżewski. Development and functioning of expert systems as illustrated by selected examples. Scientific Journal of the School of Banking and Management in Kraków, 31, 2014.
[55]: R. Dreżewski, J. Sepielak, and W. Filipkowski. System supporting money laundering detection. Digital Investigation, 9(1):8–21, 2012. [ DOI ]
[54]: R. Dreżewski and P. Tomecki. Evolutionary system supporting music composition. In G. A. Tsihrintzis, M. Virvou, L. C. Jain, and R. J. Howlett, editors, Intelligent interactive multimedia systems and services: proceedings of the 4th international conference (IIMSS 2011), Smart Innovation, Systems and Technologies, pages 29–38, Berlin, Heidelberg, 2011. Springer-Verlag. [ DOI ]
[53]: R. Dreżewski. Agent-based modeling and simulation of species formation processes. In F. Alkhateeb, E. Al Maghayreh, and I. Abu Doush, editors, Multi-Agent Systems — Modeling, Interactions, Simulations and Case Studies, pages 3–28. InTech, Rijeka, 2011. [ DOI ]
[52]: L. Siwik, K. Lewandowski, A. Woś, R. Dreżewski, and M. Kisiel-Dorohinicki. UML2SQL—a tool for model-driven development of data access layer. In E. Szczerbicki and N. T. Nguyen, editors, Smart Information and Knowledge Management. Advances, Challenges, and Critical Issues, pages 227–246. Springer-Verlag, Berlin, Heidelberg, 2010. [ DOI ]
[51]: R. Dreżewski and L. Siwik. A review of agent-based co-evolutionary algorithms for multi-objective optimization. In Y. Tenne and C.-K. Goh, editors, Computational Intelligence in Optimization. Applications and Implementations, pages 177–209. Springer-Verlag, Berlin, Heidelberg, 2010. [ DOI ]
[50]: K. Cetnarowicz and R. Dreżewski. Maintaining functional integrity in multi-agent systems for resource allocation. Computing and Informatics, 29(6):947–973, 2010.
[49]: R. Dreżewski, K. Obrocki, and L. Siwik. Agent-based co-operative co-evolutionary algorithms for multi-objective portfolio optimization. In A. Brabazon, M. O'Neill, and D. G. Maringer, editors, Natural Computing in Computational Finance, volume 3, pages 63–84. Springer-Verlag, Berlin, Heidelberg, 2010. [ DOI ]
[48]: M. Kisiel-Dorohinicki, R. Dreżewski, Ł. Hernik, T. Miłoś, K. Piętak, and A. Pohl. Zintegrowane środowisko wspomagania analizy kryminalnej. In E. Nawarecki, G. Dobrowolski, and M. Kisiel-Dorohinicki, editors, Metody sztucznej inteligencji w działaniach na rzecz bezpieczeństwa publicznego, pages 31–56. AGH University of Science and Technology Press, 2009.
[47]: R. Dreżewski and K. Obrocki. Co-operative co-evolutionary approach to multi-objective optimization. In E. Corchado, X. Wu, E. Oja, Á. Herrero, and B. Baruque, editors, Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, volume 5572 of LNAI, pages 277–284. Springer-Verlag, 2009. [ DOI ]
[46]: R. Dreżewski, K. Obrocki, and L. Siwik. Comparison of multi-agent co-operative co-evolutionary and evolutionary algorithms for multi-objective portfolio optimization. In M. Giacobini, et al., editor, Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings, volume 5484 of LNCS, pages 223–232, Berlin, Heidelberg, 2009. Springer-Verlag. [ DOI ]
[45]: R. Dreżewski, J. Sepielak, and L. Siwik. Classical and agent-based evolutionary algorithms for investment strategies generation. In A. Brabazon and M. O'Neill, editors, Natural Computing in Computational Finance, volume 2, pages 181–205. Springer-Verlag, Berlin, Heidelberg, 2009. [ DOI ]
[44]: R. Dreżewski, W. Filipkowski, and J. Sepielak. Analiza przepływów finansowych. In E. Nawarecki, G. Dobrowolski, and M. Kisiel-Dorohinicki, editors, Metody sztucznej inteligencji w działaniach na rzecz bezpieczeństwa publicznego, pages 81–101. AGH University of Science and Technology Press, 2009.
[43]: R. Dreżewski, P. Woźniak, and L. Siwik. Agent-based evolutionary system for traveling salesman problem. In E. Corchado, X. Wu, E. Oja, Á. Herrero, and B. Baruque, editors, Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, volume 5572 of LNAI, pages 34–41. Springer-Verlag, 2009. [ DOI ]
[42]: L. Siwik and R. Dreżewski. Agent-based multi-objective evolutionary algorithms with cultural and immunological mechanisms. In W. P. dos Santos, editor, Evolutionary Computation, pages 541–556, Vienna, 2009. InTech. [ DOI ]
[41]: R. Dębski, R. Dreżewski, and M. Kisiel-Dorohinicki. Maintaining population diversity in evolution strategy for engineering problems. In N. T. Nguyen, L. Borzemski, A. Grzech, and M. Ali, editors, New Frontiers in Applied Artificial Intelligence, 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008, Wroclaw, Poland, June 18-20, 2008, Proceedings, volume 5027 of LNCS, pages 379–387, Berlin, Heidelberg, 2008. Springer. [ DOI ]
[40]: E. Ciepiela, J. Kocot, L. Siwik, and R. Dreżewski. Hierarchical approach to evolutionary multi-objective optimization. In M. Bubak, G. D. van Albada, J. Dongarra, and P. M. A. Sloot, editors, Computational Science - ICCS 2008, 8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part III, volume 5103 of LNCS, pages 740–749, Berlin, Heidelberg, 2008. Springer-Verlag. [ DOI ]
[39]: R. Dreżewski, J. Sepielak, and L. Siwik. Generating robust investment strategies with agent-based co-evolutionary system. In M. Bubak, G. D. van Albada, J. Dongarra, and P. M. A. Sloot, editors, Computational Science - ICCS 2008, 8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part III, volume 5103 of LNCS, pages 664–673, Berlin, Heidelberg, 2008. Springer-Verlag. [ DOI ]
[38]: R. Dreżewski and J. Sepielak. Evolutionary system for generating investment strategies. In M. Giacobini, et al., editor, Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings, volume 4974 of LNCS, pages 83–92, Berlin, Heidelberg, 2008. Springer-Verlag. [ DOI ]
[37]: R. Dreżewski and L. Siwik. Co-evolutionary multi-agent system for portfolio optimization. In A. Brabazon and M. O'Neill, editors, Natural Computing in Computational Finance, volume 1, pages 271–299. Springer-Verlag, Berlin, Heidelberg, 2008. [ DOI ]
[36]: K. Cetnarowicz, R. Dreżewski, A. Byrski, and L. Siwik. Agentowe metody inteligencji obliczeniowej. In S. Stanek, H. Sroka, M. Paprzycki, and M. Ganzha, editors, Rozwój informatycznych systemów wieloagentowych w środowiskach społeczno-gospodarczych, chapter 4, pages 127–149. Wydawnictwo Placet, Warszawa, 2008.
[35]: R. Dreżewski and L. Siwik. Agent-based multi-objective evolutionary algorithm with sexual selection. In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2008, June 1-6, 2008, Hong Kong, China, pages 3679–3684. IEEE, 2008. [ DOI ]
[34]: R. Dreżewski and L. Siwik. Agent-based co-operative co-evolutionary algorithm for multi-objective optimization. In L. Rutkowski, R. Tadeusiewicz, Lotfi A. Zadeh, and Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing – ICAISC 2008, 9th International Conference, Zakopane, Poland, June 22-26, 2008, Proceedings, volume 5097 of LNCS, pages 388–397, Berlin, Heidelberg, 2008. Springer-Verlag. [ DOI ]
[33]: R. Dreżewski and L. Siwik. Agent-based co-evolutionary techniques for solving multi-objective optimization problems. In W. Kosiński, editor, Advances in Evolutionary Algorithms, pages 231–260. InTech, Vienna, 2008. [ DOI ]
[32]: R. Dreżewski and L. Siwik. Techniques for maintaining population diversity in classical and agent-based multi-objective evolutionary algorithms. In Y. Shi, G. D. van Albada, J. Dongarra, and P. M. A. Sloot, editors, Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part II, volume 4488 of LNCS, pages 904–911, Berlin, Heidelberg, 2007. Springer-Verlag. [ DOI ]
[31]: R. Dreżewski and K. Cetnarowicz. Sexual selection mechanism for agent-based evolutionary computation. In Y. Shi, G. D. van Albada, J. Dongarra, and P. M. A. Sloot, editors, Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part II, volume 4488 of LNCS, pages 920–927, Berlin, Heidelberg, 2007. Springer-Verlag. [ DOI ]
[30]: R. Dreżewski and L. Siwik. Multi-objective optimization technique based on co-evolutionary interactions in multi-agent system. In M. Giacobini, et al., editor, Applications of Evolutionary Computing, EvoWorkshops 2007: EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog, Valencia, Spain, April 11-13, 2007, Proceedings, volume 4448 of LNCS, pages 179–188, Berlin, Heidelberg, 2007. Springer-Verlag. [ DOI ]
[29]: R. Dreżewski, Ł. Dronka, and J. Koźlak. Co-operative co-evolutionary system for solving dynamic VRPTW problems with crisis situations. In V. Marik, V. Vyatkin, and A. W. Colombo, editors, Holonic and Multi-Agent Systems for Manufacturing, Third International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007, Regensburg, Germany, September 3-5, 2007, Proceedings, volume 4659 of LNAI, pages 81–92. Springer-Verlag, 2007. [ DOI ]
[28]: R. Dreżewski and L. Siwik. Co-evolutionary multi-agent system with predator-prey mechanism for multi-objective optimization. In B. Beliczynski, A. Dzielinski, M. Iwanowski, and B. Ribeiro, editors, Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I, volume 4431 of LNCS, pages 67–76, Berlin, Heidelberg, 2007. Springer-Verlag. [ DOI ]
[27]: R. Dreżewski and L. Siwik. The application of agent-based co-evolutionary system with predator-prey interactions to solving multi-objective optimization problems. In Proceedings of the 2007 IEEE Symposium Series on Computational Intelligence, pages 294–301. IEEE, 2007. [ DOI ]
[26]: K. Cetnarowicz and R. Dreżewski. The aggregation mechanism for agent-based evolutionary computation. In Proceedings of the 4th IFAC Conference on Management and Control of Production and Logistics, pages 169–174. IFAC, 2007. [ DOI ]
[25]: R. Dreżewski and L. Siwik. Multi-objective optimization using co-evolutionary multi-agent system with host-parasite mechanism. In V. N. Alexandrov, G. D. van Albada, P. M. A. Sloot, and J. Dongarra, editors, Computational Science - ICCS 2006, 6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part III, volume 3993 of LNCS, pages 871–878, Berlin, Heidelberg, 2006. Springer-Verlag. [ DOI ]
[24]: R. Dreżewski and M. Kisiel-Dorohinicki. Maintaining diversity in agent-based evolutionary computation. In V. N. Alexandrov, G. D. van Albada, P. M. A. Sloot, and J. Dongarra, editors, Computational Science - ICCS 2006, 6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part III, volume 3993 of LNCS, pages 908–911, Berlin, Heidelberg, 2006. Springer-Verlag. [ DOI ]
[23]: R. Dreżewski and L. Siwik. Co-evolutionary multi-agent system with sexual selection mechanism for multi-objective optimization. In Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2006), pages 769–776. IEEE, 2006. [ DOI ]
[22]: R. Dreżewski. Co-evolutionary multi-agent system with speciation and resource sharing mechanisms. Computing and Informatics, 25(4):305–331, 2006.
[21]: R. Dreżewski, M. Kisiel-Dorohinicki, and J. Koźlak. Agent-based and evolutionary planning techniques supporting crises management in transportation systems. In A. Dolgui, G. Morel, and C. E. Pereira, editors, Information Control Problems in Manufacturing 2006, volume 1, pages 473–478. Elsevier, 2006. [ DOI ]
[20]: R. Dreżewski. Resource sharing mechanism in co-evolutionary multi-agent system. In Proceedings of the 8th National Conference on Evolutionary Computation and Global Optimization (KAEiOG 2005), pages 63–69. Warsaw University of Technology Press, 2005.
[19]: R. Dreżewski. Koewolucyjne techniki optymalizacji funkcji wielomodalnych z zastosowaniem technologii agentowej. PhD thesis, AGH University of Science and Technology, 2005.
[18]: R. Dreżewski, J. Sosnowski, D. Komorowski, P. Mardosz, M. Bielawski, Sz. Faber, and T. Matecki. Platforma jAgWorld i jej zastosowania. Technical Report 04/2004, Department of Computer Science, AGH University of Science and Technology, 2004.
[17]: R. Dreżewski and K. Cetnarowicz. Niching techniques based on sexual conflict in co-evolutionary multi-agent system. In G. Lefranc, editor, Proceedings of the Conference on Management and Control of Production and Logistics (MCPL 2004), pages 307–312. IFAC/IEEE/ACCA, Universidad de Las Américas, 2004.
[16]: R. Dreżewski and K. Cetnarowicz. Co-evolutionary multi-agent system with sexual selection for multi-modal optimization. In Z. Bubnicki and A. Grzech, editors, Proceedings of the XVth International Conference on Systems Science (ICSS 2004), volume 3, pages 121–130, Wrocław, 2004. Wroclaw University of Technology Press.
[15]: R. Dreżewski. A co-evolutionary multi-agent system for multi-modal function optimization. In M. Bubak, G. D. van Albada, P. M. A. Sloot, and J. J. Dongarra, editors, Computational Science – ICCS 2004, 4th International Conference, Kraków, Poland, June 6-9, 2004, Proceedings, Part III, volume 3038 of LNCS, pages 654–661, Berlin, Heidelberg, 2004. Springer-Verlag. [ DOI ]
[14]: R. Dębski, R. Dreżewski, and M. Kisiel-Dorohinicki. Preserving diversity in evolution strategy for shape design of rotating elastic disc. In Proceedings of the 6th Conference on Evolutionary Algorithms and Global Optimization (KAEiOG 2003), pages 65–73. University of Zielona Góra, 2003.
[13]: R. Dreżewski. A model of co-evolution in multi-agent system. In V. Marik, J. Muller, and M. Pechoucek, editors, Multi-Agent Systems and Applications III, 3rd International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2003, Prague, Czech Republic, June 16-18, 2003, Proceedings, volume 2691 of LNCS, pages 314–323, Berlin, Heidelberg, 2003. Springer-Verlag. [ DOI ]
[12]: R. Dreżewski. Classical and agent-based co-evolutionary techniques. In R. Śmierzchalski, editor, Proceedings of the Workshop on Genetic Algorithms (WAG 2003), pages 17–18. Gdynia Maritime University Press, 2003.
[11]: R. Dreżewski and M. Kisiel-Dorohinicki. Równoległe i agentowe modele algorytmów ewolucyjnych. In R. Schaefer, editor, Proceedings of the Workshop on Genetic Algorithms (WAG 2002), pages 43–44, Kraków, 2002. Jagiellonian University, Bielsko College of Business and Computer Science.
[10]: R. Dreżewski, M. Kisiel-Dorohinicki, J. Werszowiec-Płazowski, and M. Suwara, editors. Proceedings of the 2nd International Conference on Philosophy and Computer Science Processes of Evolution in Real and Virtual Systems (PERVS 2001), Kraków, 2002. Department of Computer Science, AGH University of Science and Technology.
[9]: R. Dreżewski. Niche formation techniques based on coevolutionary interactions in multi-agent system. In Proceedings of the Workshop on Evolutionary Algorithms and Global Optimization and Conference on Fuzzy Systems (KAEiOG, KSR 2002), pages 17–26. Warsaw University of Technology Press, 2002.
[8]: R. Dębski, G. Woźniak, R. Dreżewski, and M. Kisiel-Dorohinicki. Evolutionary strategy for shape design of rotating variable-thickness annular elastic disc. In Proceedings of the Symposium on Methods of Artificial Intelligence (AI-METH 2002), Gliwice, 2002. Silesian University of Technology.
[7]: R. Dreżewski. Coevolutionary multiagent systems in multimodal optimization. In R. Dreżewski, M. Kisiel-Dorohinicki, J. Werszowiec-Płazowski, and M. Suwara, editors, Proceedings of the 2nd International Conference on Philosophy and Computer Science Processes of Evolution in Real and Virtual Systems (PERVS 2001), pages 87–94, Kraków, 2002. Department of Computer Science, AGH University of Science and Technology.
[6]: R. Dreżewski. Coevolution in multi-agent system as a niching technique. In Proceedings of the Annual Workshop on Multi-Agent Systems and New Trends in Soft Computing (Agent Day 2002), Belfort, 2002. University of Technology of Belfort-Montbéliard.
[5]: R. Dreżewski. Zagadnienia symulacji procesu ewolucji w systemach wieloagentowych. Automatyka, 4(1):35–53, 2000. AGH University of Science and Technology Press.
[4]: K. Cetnarowicz and R. Dreżewski. The mechanism of supervising the evolution process realized in multi-agent world. In Proceedings of the 2nd International Conference on Formal Methods and Intelligent Techniques in Control, Decision Making, Multimedia and Robotics, pages 91–108, Warszawa, 2000. Polish-Japanese Institute of Information Technology.
[3]: R. Dreżewski and K. Cetnarowicz. Simulation methodology of the evolution process in multi agent world with the swarm simulation system. In J. Stefan, editor, Proceedings of the XXIst International Colloquium Advanced Simulation of Systems (ASIS 1999), Ostrava, 1999. VSB Technical University of Ostrava, MARQ.
[2]: R. Dreżewski. The application of escape and aggregation evolution operators to the evolution process in prediction system. In Proceedings of the International Workshop Control and Information Technology (IWCIT 1999), pages 150–156, Ostrava, 1999. VSB Technical University of Ostrava.
[1]: R. Dreżewski and J. Herudziński. Praktyczne zastosowanie podejścia agentowego do budowy zdecentralizowanego systemu komputerowego rozwiązującego problem równoważenia zasobów. Master's thesis, Akademia Górniczo-Hutnicza, Kraków, 1998.

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