Dr. Thomas Weise

Publications on Genetic Programming

Genetic Programming is the idea of synthesizing programs (or program-like things such as formulas) by using an optimization method, such as an EA. Since my PhD research was on this topic, I have published some works on this domain, which I still consider quite interesting.

  1. Thomas Weise, Raymond Chiong, Ke Tang, Jörg Lässig, Shigeyoshi Tsutsui, Wenxiang Chen, Zbigniew Michalewicz, and Xin Yao. Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. IEEE Computational Intelligence Magazine (CIM), 9(3):40-52, August 2014. Featured article and selected paper at the website of the IEEE Computational Intelligence Society (http://cis.ieee.org/).
    details / doi:10.1109/MCI.2014.2326101 / pdf icon pdf
    (includes experiment with GP)
  2. Thomas Weise, Mingxu Wan, Ke Tang, and Xin Yao. Evolving Exact Integer Algorithms with Genetic Programming. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'14), Proceedings of the 2014 World Congress on Computational Intelligence (WCCI'14), pages 1816-1823, Beijing, China: Beijing International Convention Center (BICC), July 6–11, 2014. ISBN: 978-1-4799-1488-3, Los Alamitos, CA, USA: IEEE Computer Society Press.
    details / doi:10.1109/CEC.2014.6900292 / pdf icon pdf / pdf icon slides
  3. Thomas Weise, Mingxu Wan, Ke Tang, Pu Wang, Alexandre Devert, and Xin Yao. Frequency Fitness Assignment. IEEE Transactions on Evolutionary Computation (IEEE-EC), 18(2):226-243, April 2014.
    details / doi:10.1109/TEVC.2013.2251885 / pdf icon pdf
    (includes two experiments with GP)
  4. Pu Wang, Ke Tang, Thomas Weise, Edward P.K. Tsang, and Xin Yao. Multiobjective Genetic Programming for Maximizing ROC Performance. Neurocomputing, 125:102-118, February 11, 2014.
    details / doi:10.1016/j.neucom.2012.06.054 / pdf icon pdf
  5. Thomas Weise. TSP, Benchmarking, and EC. In Zhi-Hua and Yang Yu, editors, The 8th International Workshop on Nature Inspired Computation and Applications (NICaiA'13 Autumn), Nanjing, Jiangsu, China: Nanjing University, Xianlin Campus, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Learning And Mining from DatA group (LAMBDA), October 17–19, 2013.
    (includes experiment with GP)
  6. Jin Ouyang, Thomas Weise, Alexandre Devert, and Raymond Chiong. SDGP: A Developmental Approach for Traveling Salesman Problems. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS'13), Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI'13), pages 78-85, Singapore: Grand Copthorne Waterfront Hotel, April 15–19, 2013. ISBN: 9781467359054, Los Alamitos, CA, USA: IEEE Computer Society Press.
    details / doi:10.1109/CIPLS.2013.6595203 / pdf icon pdf / pdf icon slides
  7. Thomas Weise, Alexandre Devert, and Ke Tang. A Developmental Solution to (Dynamic) Capacitated Arc Routing Problems using Genetic Programming. In Terence Soule and Jason H. Moore, editors, Proceedings of the 14th Genetic and Evolutionary Computation Conference (GECCO'12), pages 831-838, Philadelphia, PA, USA: Doubletree by Hilton Hotel Philadelphia Center City, July 7–11, 2012. ISBN: 978-1-4503-1177-9, New York, NY, USA: Association for Computing Machinery (ACM).
    details / doi:10.1145/2330163.2330278 / pdf icon pdf / pdf icon slides
  8. Thomas Weise and Ke Tang. Evolving Distributed Algorithms with Genetic Programming. IEEE Transactions on Evolutionary Computation (IEEE-EC), 16(2):242-265, April 2012. Received pdf icon CIS Publication Spotlight in the August 2012 issue of the IEEE Computational Intelligence Magazine (CIM).
    details / doi:10.1109/TEVC.2011.2112666 / pdf icon pdf
  9. Thomas Weise. Representations for Logistic Planning. In Xin Yao, editor, The Third NICaiA Workshop on Nature Inspired Computation and Its Applications (NICaiA'12), Birmingham, UK: University of Birmingham, Computer Science Building, April 16–17, 2012.
  10. Mingxu Wan, Thomas Weise, and Ke Tang. Novel Loop Structures and the Evolution of Mathematical Algorithms. In Sara Silva, James A. Foster, Miguel Nicolau, Penousal Machado, and Mario Giacobini, editors, Proceedings of the 14th European Conference on Genetic Programming (EuroGP'11), volume 6621/2011 of Lecture Notes in Computer Science (LNCS), pages 49-60, Torino, Italy, April 27–29, 2011. ISBN: 978-3-642-20406-7, Berlin, Germany: Springer-Verlag GmbH.
    details / doi:10.1007/978-3-642-20407-4_5 / pdf icon pdf / pdf icon slides
  11. Pu Wang, Thomas Weise, and Raymond Chiong. Novel Evolutionary Algorithms for Supervised Classification Problems: An Experimental Study. Evolutionary Intelligence, 4(1):3-16, March 2011.
    details / doi:10.1007/s12065-010-0047-7 / pdf icon pdf
  12. Pu Wang, Edward P.K. Tsang, Thomas Weise, Ke Tang, and Xin Yao. Using GP to Evolve Decision Rules for Classification in Financial Data Sets. In Fuchun Sun, Yingxu Wang, Jianhua Lu, Bo Zhang, Witold Kinsner, and Lotfi A. Zadeh, editors, Proceedings of the 9th IEEE International Conference on Cognitive Informatics (ICCI'10), pages 720-727, Beijing, China: Tsinghua University, July 7–9, 2010. ISBN: 978-1-4244-8040-1, Los Alamitos, CA, USA: IEEE Computer Society Press.
    details / doi:10.1109/COGINF.2010.5599820 / pdf icon pdf / pdf icon slides
  13. Thomas Weise and Raymond Chiong. Evolutionary Data Mining Approaches for Rule-based and Tree-based Classifiers. In Fuchun Sun, Yingxu Wang, Jianhua Lu, Bo Zhang, Witold Kinsner, and Lotfi A. Zadeh, editors, Proceedings of the 9th IEEE International Conference on Cognitive Informatics (ICCI'10), pages 696-703, Beijing, China: Tsinghua University, July 7–9, 2010. ISBN: 978-1-4244-8040-1, Los Alamitos, CA, USA: IEEE Computer Society Press.
    details / doi:10.1109/COGINF.2010.5599821 / pdf icon pdf / pdf icon slides
  14. Thomas Weise and Raymond Chiong. Evolutionary Approaches and Their Applications to Distributed Systems. In Raymond Chiong, editor, Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, chapter 6, pages 114-149. ISBN: 978-1-60566-798-0, Hershey, PA, USA: Information Science Reference / IGI Global, September 2009.
    details / doi:10.4018/978-1-60566-798-0.ch006
    (also discusses GP-based approaches)
  15. Thomas Weise and Michael Zapf. Evolving Distributed Algorithms with Genetic Programming: Election. In Lihong Xu, Erik D. Goodman, and Yongsheng Ding, editors, Proceedings of the First ACM/SIGEVO Summit on Genetic and Evolutionary Computation (GEC'09), pages 577-584, Shanghai, China: Hua-Ting Hotel & Towers, June 12–14, 2009. ISBN: 978-1-60558-326-6, New York, NY, USA: ACM Press.
    details / doi:10.1145/1543834.1543913 / pdf icon pdf
  16. Thomas Weise. Evolving Distributed Algorithms with Genetic Programming. PhD thesis, Kassel, Hesse, Germany: University of Kassel, Fachbereich 16: Elektrotechnik/Informatik, Distributed Systems Group, May 4, 2009.
    Won the pdf icon Dissertation Award of The Association of German Engineers (Verein Deutscher Ingenieure, VDI) Nordhessen.
    urn:nbn:de:hebis:34-2009051127217
    pdf icon dissertation / pdf icon defense slides / jar icon animations / pdf icon supplementary slides
  17. Thomas Weise, Michael Zapf, Mohammad Ullah Khan, and Kurt Geihs. Combining Genetic Programming and Model-Driven Development. International Journal of Computational Intelligence and Applications (IJCIA), 8(1):37-52, March 2009, Brijesh Verma, editor.
    details / doi:10.1142/S1469026809002436 / pdf icon pdf
  18. Thomas Weise. Global Optimization Algorithms – Theory and Application. Germany: it-weise.de (self-published), 2009.
    details / pdf icon pdf
    (contains large chapter on GP)
  19. Michael Zapf and Thomas Weise. Can Solutions Emerge? Proceedings of the Third International Workshop on Self-Organizing Systems (IWSOS'08). Karin Anna Hummel and James P. G. Sterbenz, editors. December 10-12, 2008, Vienna, Austria. Volume 5343/2008 of Lecture Notes in Computer Science (LNCS), pages 299–304. ISBN 978-3-540-92156-1, Berlin, Germany: Springer-Verlag GmbH.
    details / doi:10.1007/978-3-540-92157-8_29 / pdf icon pdf / pdf icon pdf
  20. Thomas Weise, Hendrik Skubch, Michael Zapf, and Kurt Geihs. Global Optimization Algorithms and their Application to Distributed Systems. Kasseler Informatikschriften (KIS) 2008, 3, Kassel, Hesse, Germany: University of Kassel, Fachbereich 16: Elektrotechnik/Informatik, September 29, 2008.
    urn:nbn:de:hebis:34-2008101424484
    (includes applications of GP)
  21. Thomas Weise. Internal Cooperation/Brainstorming Session Presentation – Evolving Distributed Algorithms with Genetic Programming. December 15, 2008.
  22. Thomas Weise, Michael Zapf, and Kurt Geihs. Evolving Proactive Aggregation Protocols. In Michael O'Neill, Leonardo Vanneschi, Steven Matt Gustafson, Anna Isabel Esparcia-Alcázar, Ivanoe de Falco, Antonio Della Cioppa, and Ernesto Tarantino, editors, Genetic Programming – Proceedings of the 11th European Conference on Genetic Programming (EuroGP'08), volume 4971/2008 of Lecture Notes in Computer Science (LNCS), pages 254-265, Naples, Italy, March 26–28, 2008. ISBN: 978-3-540-78670-2, Berlin, Germany: Springer-Verlag GmbH.
    details / doi:10.1007/978-3-540-78671-9_22 / pdf icon pdf
  23. Michael Zapf and Thomas Weise. Applicability of Emergence Engineering to Distributed Systems Scenarios. Kasseler Informatikschriften (KIS) 2008, 5, Kassel, Hesse, Germany: University of Kassel, Fachbereich 16: Elektrotechnik/Informatik, January 9, 2009.
    urn:nbn:de:hebis:34-2009010925609
  24. Michael Zapf and Thomas Weise. Offline Emergence Engineering For Agent Societies. The Fifth European Workshop on Multi-Agent Systems (EUMAS'07). December 14, 2007, Hammamet, Tunesia. Also presented at the co-located Fifth Technical Forum Group (TFG5). (both have no formal proceedings)
    details / pdf icon pdf
  25. Thomas Weise, Michael Zapf, and Kurt Geihs. Rule-based Genetic Programming. In Proceedings of the 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS'07), pages 8-15, Budapest, Hungary: Radisson SAS Beke Hotel, December 10–12, 2007. ISBN: 978-963-9799-05-9, Piscataway, NJ, USA: IEEE Computer Society.
    details / doi:10.1109/BIMNICS.2007.4610073 / pdf icon pdf / pdf icon slides / jar icon demo
  26. Michael Zapf and Thomas Weise. Offline Emergence Engineering For Agent Societies. Kasseler Informatikschriften (KIS) 2007, 8, Kassel, Hesse, Germany: University of Kassel, Fachbereich 16: Elektrotechnik/Informatik, December 7, 2007.
    urn:nbn:de:hebis:34-2007120719844
  27. Thomas Weise, Stefan Achler, Martin Göb, Christian Voigtmann, and Michael Zapf. Evolving Classifiers – Evolutionary Algorithms in Data Mining. Kasseler Informatikschriften (KIS) 2007, 4, Kassel, Hesse, Germany: University of Kassel, Fachbereich 16: Elektrotechnik/Informatik, September 28, 2007.
    urn:nbn:de:hebis:34-2007092819260
  28. Thomas Weise, Michael Zapf, Mohammad Ullah Khan, and Kurt Geihs. Genetic Programming meets Model-Driven Development. In Andreas König, Mario Köppen, Ajith Abraham, Christian Igel, and Nikola Kasabov, editors, Proceedings of the 7th International Conference on Hybrid Intelligent Systems (HIS'07), pages 332-335, Kaiserslautern, Germany: Fraunhofer Center FhG ITWM/FhG IESE, September 17–19, 2007. Piscataway, NJ, USA: IEEE Computer Society.
    details / doi:10.1109/HIS.2007.11 / pdf icon pdf / pdf icon poster
  29. Thomas Weise, Michael Zapf, Mohammad Ullah Khan, and Kurt Geihs. Genetic Programming meets Model-Driven Development. Kasseler Informatikschriften (KIS) 2007, 2, Kassel, Hesse, Germany: University of Kassel, Fachbereich 16: Elektrotechnik/Informatik, July 2, 2007.
    urn:nbn:de:hebis:34-2007070218786
  30. Thomas Weise. SIGOA+DGPF: Evolutionary Computation and Genetic Programming for Distributed Computing. August 6, 2007.
  31. Thomas Weise, Kurt Geihs, and Philipp Andreas Baer. Genetic Programming for Proactive Aggregation Protocols. In Bartłomiej Beliczyński, Andrzej Dzieliński, Marcin Iwanowski, and Bernardete Ribeiro, editors, Proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA'07), Part I, volume 4431/2007 of Lecture Notes in Computer Science (LNCS), pages 167-173, Warsaw, Poland: Warsaw University of Technology, April 11–17, 2007. ISBN:&nsp;978-3-540-71589-4, Berlin, Germany: Springer-Verlag GmbH.
    details / doi:10.1007/978-3-540-71618-1_19 / pdf icon pdf / pdf icon slides
  32. Thomas Weise, Kurt Geihs, and Philipp Andreas Baer. Genetic Programming for Proactive Aggregation Protocols. In Bartłomiej Beliczyński, Andrzej Dzieliński, Marcin Iwanowski, and Bernardete Ribeiro, editors, Proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA'07), Part I, volume 4431/2007 of Lecture Notes in Computer Science (LNCS), pages 167-173, Warsaw, Poland: Warsaw University of Technology, April 11–17, 2007. ISBN:&nsp;978-3-540-71589-4, Berlin, Germany: Springer-Verlag GmbH.
    details / doi:10.1007/978-3-540-71618-1_19 / pdf icon pdf / pdf icon slides
  33. Thomas Weise and Kurt Geihs. Genetic Programming Techniques for Sensor Networks. In Pedro José Marrón, editor, Tagungsband des 5. GI/ITG KuVS Fachgespräch “Drahtlose Sensornetze”, Stuttgart, Germany: Universität Stuttgart, Fakultät 5: Informatik, Elektrotechnik und Informationstechnik, Institut für Parallele und Verteilte Systeme (IPVS), July 17–18, 2006, pages 21-25. Proceedings published as Technical Report TR-2006-07 of Stuttgart, Germany: University of Stuttgart, Computer Science Faculty.
    details / pdf icon pdf / pdf icon slides / proceedings
  34. Thomas Weise and Kurt Geihs. DGPF – An Adaptable Framework for Distributed Multi-Objective Search Algorithms Applied to the Genetic Programming of Sensor Networks. In Bogdan Filipič and Jurij Šilc, editors, Proceedings of the Second International Conference on Bioinspired Optimization Methods and their Applications (BIOMA'06), pages 157-166, Informacijska Družba (Information Society) / Ljubljana, Slovenia: Jožef Stefan International Postgraduate School, October 9–10, 2006. Ljubljana, Slovenia: Jožef Stefan Institute.
    details / pdf icon pdf / pdf icon pdf / proceedings
  35. Thomas Weise. Genetic Programming for Sensor Networks. Technical Report, Kassel, Hesse, Germany: University of Kassel, Fachbereich 16: Elektrotechnik/Informatik, Distributed Systems Group, January 2006.