Computational Intelligence (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Computational Intelligence" in German language version.

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archive.org (Global: 6th place; German: 40th place)

  • Knud Illeris, Dorothy Reader, Knud Illeris: The three dimensions of learning: contemporary learning theory in the tension field between the cognitive, the emotional and the social. 2. ed Auflage. Roskilde Univ. Press [u. a.], Frederiksberg 2004, ISBN 87-7867-121-3 (archive.org [abgerufen am 4. Januar 2026]).

doi.org (Global: 2nd place; German: 3rd place)

  • James C. Bezdek: (Computational) Intelligence: What's in a Name? In: IEEE Systems, Man, and Cybernetics Magazine. Band 2, Nr. 2, April 2016, ISSN 2333-942X, S. 4–14, doi:10.1109/MSMC.2016.2558778 (ieee.org [PDF]).
  • Włodzisław Duch, Jacek Mandziuk: What Is Computational Intelligence and Where Is It Going? In: Włodzisław Duch, Jacek Mandziuk (Hrsg.): Challenges for Computational Intelligence (= Studies in Computational Intelligence). Band 63. Springer, Berlin, Heidelberg 2007, ISBN 978-3-540-71983-0, S. 1–13, doi:10.1007/978-3-540-71984-7.
  • John Fulcher: Introduction, Overview, Definitions. In: John Fulcher, L. C. Jain (Hrsg.): Computational Intelligence: A Compendium (= Studies in Computational Intelligence). Nr. 115. Springer, Berlin, Heidelberg 2008, ISBN 978-3-540-78292-6, S. 3–7, doi:10.1007/978-3-540-78293-3.
  • Volker Nissen: Evolutionäre Algorithmen. Deutscher Universitätsverlag, Wiesbaden 1994, ISBN 3-8244-0217-3, doi:10.1007/978-3-322-83430-0.
    1. Hybridsysteme, S. 265-312
    2. Thomas Hanne, Rolf Dornberger: Computational Intelligence. In: Computational Intelligence in Logistics and Supply Chain Management (= International Series in Operations Research & Management Science). Band 244. Springer International Publishing, Cham 2017, ISBN 978-3-319-40720-3, S. 13–41, doi:10.1007/978-3-319-40722-7.
    3. Cengiz Kahraman (Hrsg.): Computational Intelligence Systems in Industrial Engineering: With Recent Theory and Applications (= Atlantis Computational Intelligence Systems. Band 6). Atlantis Press, Paris 2012, ISBN 978-94-91216-76-3, Preface, S. VII-XI, doi:10.2991/978-94-91216-77-0.
    4. Lotfi A. Zadeh: Fuzzy Logic, Neural Networks, and Soft Computing. In: Communications of the ACM. Band 37, Nr. 3, März 1994, ISSN 0001-0782, S. 77–84, doi:10.1145/175247.175255.
    5. Lotfi A. Zadeh: Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Information/Intelligent Systems. In: Okyay Kaynak, Lotfi A. Zadeh, Burhan Türkşen, Imre J. Rudas (Hrsg.): Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications. Springer, Berlin, Heidelberg 1998, ISBN 3-642-63796-5, S. 1–9, doi:10.1007/978-3-642-58930-0_1.
    6. Sakunthala S: Soft Computing Techniques and Applications in Electrical Drives Fuzzy logic, and Genetic Algorithm. In: HELIX. Band 8, Nr. 2, 28. Februar 2018, S. 3285–3289, doi:10.29042/2018-3285-3289.
    7. James C. Bezdek: Computational Intelligence Defined - By Everyone ! In: Okyay Kaynak, Lotfi A. Zadeh, Burhan Türkşen, Imre J. Rudas (Hrsg.): Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications. Springer, Berlin, Heidelberg 1998, ISBN 3-642-63796-5, S. 10–37, doi:10.1007/978-3-642-58930-0_2.
    8. Allan M. Turing: I.—COMPUTING MACHINERY AND INTELLIGENCE. In: Mind. Band LIX, Nr. 236, 1. Oktober 1950, ISSN 1460-2113, S. 433–460, doi:10.1093/mind/LIX.236.433.
    9. Computational Intelligence - Issue archive. In: Computational Intelligence. Wiley Online Library, doi:10.1111/(issn)1467-8640 (wiley.com [abgerufen am 28. Dezember 2025]).
    10. J. C. Dunn: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters. In: Journal of Cybernetics. Band 3, Nr. 3, Januar 1973, ISSN 0022-0280, S. 32–57, doi:10.1080/01969727308546046.
    11. A.E. Eiben, J.E. Smith: Introduction to Evolutionary Computing (= Natural Computing Series). 2. Auflage. Springer, Berlin, Heidelberg 2015, ISBN 978-3-662-44873-1, doi:10.1007/978-3-662-44874-8.
      1. Evolutionary Computing: The Origins, S. 13-24
      2. Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Słowiński (Hrsg.): Multiobjective Optimization: Interactive and Evolutionary Approaches (= Lecture Notes in Computer Science. Band 5252). Springer, Berlin, Heidelberg 2008, ISBN 978-3-540-88907-6, doi:10.1007/978-3-540-88908-3.
      3. Erick Cantú-Paz: Efficient and Accurate Parallel Genetic Algorithms (= Genetic Algorithms and Evolutionary Computation. Band 1). Springer US, Boston, MA 2001, ISBN 1-4613-6964-9, doi:10.1007/978-1-4615-4369-5.
      4. Hatem Khalloof, Mohammad Mohammad, Shadi Shahoud, Clemens Duepmeier, Veit Hagenmeyer: A Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics. ACM, 2020, ISBN 978-1-4503-8115-4, S. 124–131, doi:10.1145/3415958.3433041.
      5. Tobias Friedrich, Markus Wagner: Seeding the initial population of multi-objective evolutionary algorithms: A computational study. In: Applied Soft Computing. Band 33, August 2015, S. 223–230, doi:10.1016/j.asoc.2015.04.043.
      6. Wilfried Jakob, Sylvia Strack, Alexander Quinte, Günther Bengel, Karl-Uwe Stucky, Wolfgang Süß: Fast Rescheduling of Multiple Workflows to Constrained Heterogeneous Resources Using Multi-Criteria Memetic Computing. In: Algorithms. Band 6, Nr. 2, 22. April 2013, ISSN 1999-4893, S. 245–277, doi:10.3390/a6020245.
      7. James Kennedy, Russell C. Eberhart, Yuhui Shi: Swarm Intelligence. Elsevier, 2001, ISBN 1-55860-595-9, doi:10.1016/b978-1-55860-595-4.x5000-1.
      8. Eric Bonabeau, Marco Dorigo, Guy Theraulaz: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York 1999, ISBN 0-19-513158-4, doi:10.1093/oso/9780195131581.001.0001.
      9. Riccardo Poli: Analysis of the Publications on the Applications of Particle Swarm Optimisation. In: Journal of Artificial Evolution and Applications. Band 2008, Nr. 1, Januar 2008, ISSN 1687-6229, doi:10.1155/2008/685175.
      10. Nilanjan Dey (Hrsg.): Applications of Ant Colony Optimization and its Variants: Case Studies and New Developments (= Springer Tracts in Nature-Inspired Computing). Springer Nature, Singapore 2024, ISBN 978-981-9972-26-5, doi:10.1007/978-981-99-7227-2.
      11. Bo Li, K. Wada: Parallelizing Particle Swarm Optimization. IEEE, 2005, ISBN 0-7803-9195-0, S. 288–291, doi:10.1109/PACRIM.2005.1517282.
      12. Marcus Randall, Andrew Lewis: A Parallel Implementation of Ant Colony Optimization. In: Journal of Parallel and Distributed Computing. Band 62, Nr. 9, September 2002, S. 1421–1432, doi:10.1006/jpdc.2002.1854.
      13. Rui-zhao Zheng, Yong Zhang, Kang Yang: A Transfer Learning-based Particle Swarm Optimization Algorithm for Travelling Salesman Problem. In: Journal of Computational Design and Engineering. Band 9, Nr. 3, 23. Mai 2022, ISSN 2288-5048, S. 933–948, doi:10.1093/jcde/qwac039.
      14. Li-Ning Xing, Ying-Wu Chen, Peng Wang, Qing-Song Zhao, Jian Xiong: A Knowledge-Based Ant Colony Optimization for Flexible Job Shop Scheduling Problems. In: Applied Soft Computing. Band 10, Nr. 3, Juni 2010, S. 888–896, doi:10.1016/j.asoc.2009.10.006.
      15. Georgina Cosma, David Brown, Matthew Archer, Masood Khan, A. Graham Pockley: A survey on computational intelligence approaches for predictive modeling in prostate cancer. In: Expert Systems with Applications. Band 70, März 2017, S. 1–19, doi:10.1016/j.eswa.2016.11.006.
      16. Rui Pinto, Gil Gonçalves: Application of Artificial Immune Systems in Advanced Manufacturing. In: Array. Band 15, September 2022, S. 100238, doi:10.1016/j.array.2022.100238.
      17. Paul Erdős, Joel H. Spencer: Probabilistic Methods in Combinatorics (= Probability and mathematical statistics, 17). Academic Press, New York 1974, ISBN 0-12-240960-4, doi:10.1007/978-3-0348-9078-6_132.
      18. Ajoy K. Palit, Dobrivoje Popovicþ: Computational Intelligence in Time Series Forecasting - Theory and Engineering Applications (= Advances in Industrial Control). Springer-Verlag, London 2005, ISBN 1-85233-948-9, doi:10.1007/1-84628-184-9.
      19. A. L. Samuel: Some Studies in Machine Learning Using the Game of Checkers. In: IBM Journal of Research and Development. Band 3, Nr. 3, Juli 1959, ISSN 0018-8646, S. 210–229, doi:10.1147/rd.33.0210.
      20. S. Bhattacharyya, V. Snášel, D. Gupta, A. Khanna (Hrsg.): Hybrid Computational Intelligence - Challanges and Applications. Elsevier, 2020, ISBN 978-0-12-818699-2, doi:10.1016/c2018-0-03259-4.
      21. Priti Srinivas Sajja: Illustrated Computational Intelligence: Examples and Applications (= Studies in Computational Intelligence. Band 931). Springer, Singapore 2021, ISBN 978-981-15-9588-2, Examples and Applications on Hybrid Computational Intelligence Systems, S. 191–255, doi:10.1007/978-981-15-9589-9.
      22. Detlef Nauck, Andreas Nürnberger: Neuro-fuzzy Systems: A Short Historical Review. In: Computational Intelligence in Intelligent Data Analysis. Band 445. Springer, Berlin, Heidelberg 2013, ISBN 978-3-642-32377-5, S. 91–109, doi:10.1007/978-3-642-32378-2_7 (researchgate.net [abgerufen am 6. Januar 2026]).
      23. Zs.J. Viharos, K.B. Kis: Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement. In: Measurement. Band 67, Mai 2015, S. 126–136, doi:10.1016/j.measurement.2015.02.001.

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  • Chair of Computational Intelligence. Otto-von-Guericke-Universität Magdeburg, Institute for Intelligent Cooperating Systems, 1. Dezember 2025, abgerufen am 5. Januar 2026 (englisch).

ox.ac.uk (Global: 613th place; German: 1,083rd place)

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researchgate.net (Global: 120th place; German: 143rd place)

  • Bart Craenen, A. E. Eiben: Computational Intelligence. In: N. K. Joost (Hrsg.): Encyclopedia of Life Support Sciences (EOLSS). Band 4. EOLSS Co. Ltd., 2002 (researchgate.net).
  • Detlef Nauck, Andreas Nürnberger: Neuro-fuzzy Systems: A Short Historical Review. In: Computational Intelligence in Intelligent Data Analysis. Band 445. Springer, Berlin, Heidelberg 2013, ISBN 978-3-642-32377-5, S. 91–109, doi:10.1007/978-3-642-32378-2_7 (researchgate.net [abgerufen am 6. Januar 2026]).

techtarget.com (Global: 2,435th place; German: 3,489th place)

  • Scott Robinson, Wesley Chai: What is fuzzy logic? 13. August 2025, abgerufen am 28. Dezember 2025 (englisch).

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  • Andreas Nürnberger: Neuro-Fuzzy Systems. Otto-von-Guericke Universität, Magdeburg, 2001, abgerufen am 6. Januar 2026.

uni-osnabrueck.de (Global: low place; German: 1,207th place)

uni-siegen.de (Global: low place; German: 2,131st place)

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web.archive.org (Global: 1st place; German: 1st place)

  • Volker Nissen: Soft Computing. (Memento vom 25. März 2019 im Internet Archive) In: Enzyklopaedie der Wirtschaftsinformatik. Lehrstuhl für Wirtschaftsinformatik, Universität Potsdam; abgerufen am 27. Dezember 2025.

wiley.com (Global: 222nd place; German: 272nd place)

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zdb-katalog.de (Global: 123rd place; German: 6th place)

  • James C. Bezdek: (Computational) Intelligence: What's in a Name? In: IEEE Systems, Man, and Cybernetics Magazine. Band 2, Nr. 2, April 2016, ISSN 2333-942X, S. 4–14, doi:10.1109/MSMC.2016.2558778 (ieee.org [PDF]).
  • Lotfi A. Zadeh: Fuzzy Logic, Neural Networks, and Soft Computing. In: Communications of the ACM. Band 37, Nr. 3, März 1994, ISSN 0001-0782, S. 77–84, doi:10.1145/175247.175255.
  • Allan M. Turing: I.—COMPUTING MACHINERY AND INTELLIGENCE. In: Mind. Band LIX, Nr. 236, 1. Oktober 1950, ISSN 1460-2113, S. 433–460, doi:10.1093/mind/LIX.236.433.
  • J. C. Dunn: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters. In: Journal of Cybernetics. Band 3, Nr. 3, Januar 1973, ISSN 0022-0280, S. 32–57, doi:10.1080/01969727308546046.
  • Wilfried Jakob, Sylvia Strack, Alexander Quinte, Günther Bengel, Karl-Uwe Stucky, Wolfgang Süß: Fast Rescheduling of Multiple Workflows to Constrained Heterogeneous Resources Using Multi-Criteria Memetic Computing. In: Algorithms. Band 6, Nr. 2, 22. April 2013, ISSN 1999-4893, S. 245–277, doi:10.3390/a6020245.
  • Riccardo Poli: Analysis of the Publications on the Applications of Particle Swarm Optimisation. In: Journal of Artificial Evolution and Applications. Band 2008, Nr. 1, Januar 2008, ISSN 1687-6229, doi:10.1155/2008/685175.
  • Rui-zhao Zheng, Yong Zhang, Kang Yang: A Transfer Learning-based Particle Swarm Optimization Algorithm for Travelling Salesman Problem. In: Journal of Computational Design and Engineering. Band 9, Nr. 3, 23. Mai 2022, ISSN 2288-5048, S. 933–948, doi:10.1093/jcde/qwac039.
  • A. L. Samuel: Some Studies in Machine Learning Using the Game of Checkers. In: IBM Journal of Research and Development. Band 3, Nr. 3, Juli 1959, ISSN 0018-8646, S. 210–229, doi:10.1147/rd.33.0210.