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Fitnessfunktion (German Wikipedia)

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

refsWebsite
Global rank German rank
20doi.org
2nd place
3rd place
6zdb-katalog.de
123rd place
6th place
3ieee.org
652nd place
864th place
2arxiv.org
69th place
189th place
1elsevier.com
610th place
521st place
1emis.de
low place
low place
1mit.edu
415th place
779th place
1ethz.ch
2,224th place
612th place

arxiv.org

  • Wilfried Jakob, Christian Blume: Pareto Optimization or Cascaded Weighted Sum: A Comparison of Concepts. In: Algorithms. Band 7, Nr. 2, 2. April 2014, ISSN 1999-4893, S. 166–185, doi:10.3390/a7010166, arxiv:2203.02697.
  • Wilfried Jakob: Applying Evolutionary Algorithms Successfully: A Guide Gained from Real-world Applications. Karlsruher Institut für Technologie (KIT), 2021, doi:10.5445/ir/1000135763, arxiv:2107.11300.

doi.org

  • 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, Evaluation Function (Fitness Function), S. 30, doi:10.1007/978-3-662-44874-8 (englisch).
  • Hartmut Pohlheim: Evolutionäre Algorithmen. Springer, Berlin, Heidelberg 2000, ISBN 3-642-63052-9, Fitneßzuweisung, S. 16–23, doi:10.1007/978-3-642-57137-4.
  • Thomas Jansen: Analyzing Evolutionary Algorithms - The Computer Science Perspective. Springer, Berlin, Heidelberg 2013, ISBN 978-3-642-17338-7, S. 7, doi:10.1007/978-3-642-17339-4.
  • Thomas Bäck, David B. Fogel, Zbigniew Michalewicz (Hrsg.): Evolutionary Computation. Vol. 2, Advanced Algorithms and Operators. CRC Press, Boca Raton 2000, ISBN 0-585-30363-0, S. 2, doi:10.1201/9781420034349.
  • Y. Jin: A comprehensive survey of fitness approximation in evolutionary computation. In: Soft Computing. Band 9, Nr. 1, 1. Januar 2005, ISSN 1433-7479, S. 3–12, doi:10.1007/s00500-003-0328-5.
  • 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, Nonstationary and Noisy Function Optimisation, S. 185–194, doi:10.1007/978-3-662-44874-8.
  • Yaochu Jin: Surrogate-assisted evolutionary computation: Recent advances and future challenges. In: Swarm and Evolutionary Computation. Band 1, Nr. 2, Juni 2011, S. 61–70, doi:10.1016/j.swevo.2011.05.001 (elsevier.com [abgerufen am 27. Februar 2023]).
  • Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen: Data-Driven Evolutionary Optimization: An Overview and Case Studies. In: IEEE Transactions on Evolutionary Computation. Band 23, Nr. 3, Juni 2019, ISSN 1089-778X, S. 442–458, doi:10.1109/TEVC.2018.2869001 (ieee.org [abgerufen am 27. Februar 2023]).
  • Dirk Sudholt: Parallel Evolutionary Algorithms. In: Springer Handbook of Computational Intelligence. Springer, Berlin, Heidelberg 2015, ISBN 978-3-662-43504-5, S. 929–959, doi:10.1007/978-3-662-43505-2_46.
  • Hatem Khalloof, Mohammad Mohammad, Shadi Shahoud, Clemens Duepmeier, Veit Hagenmeyer: A Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics. In: Proceedings of the 12th International Conference on Management of Digital EcoSystems. ACM, Virtual Event United Arab Emirates 2020, ISBN 978-1-4503-8115-4, S. 124–131, doi:10.1145/3415958.3433041.
  • Kaisa Miettinen: Introduction to Multiobjective Optimization: Noninteractive Approaches. In: Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Słowiński (Hrsg.): Multiobjective Optimization: Interactive and Evolutionary Approaches. LNCS, Nr. 5252. Springer, Berlin, Heidelberg 2008, ISBN 978-3-540-88907-6, S. 1–26, doi:10.1007/978-3-540-88908-3.
  • Wilfried Jakob, Christian Blume: Pareto Optimization or Cascaded Weighted Sum: A Comparison of Concepts. In: Algorithms. Band 7, Nr. 2, 2. April 2014, ISSN 1999-4893, S. 166–185, doi:10.3390/a7010166, arxiv:2203.02697.
  • Carlos M. Fonseca, Peter J. Fleming: An Overview of Evolutionary Algorithms in Multiobjective Optimization. In: Evolutionary Computation. Band 3, Nr. 1, März 1995, ISSN 1063-6560, S. 1–16, doi:10.1162/evco.1995.3.1.1 (mit.edu [abgerufen am 7. März 2022]).
  • Kalyanmoy Deb: Introduction to Evolutionary Multiobjective Optimization. In: Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Słowiński (Hrsg.): Multiobjective Optimization: Interactive and Evolutionary Approaches. LNCS, Nr. 5252. Springer, Berlin, Heidelberg 2008, ISBN 978-3-540-88907-6, S. 58–96, doi:10.1007/978-3-540-88908-3.
  • Eckart Zitzler, Marco Laumanns, Lothar Thiele: SPEA2: Improving the strength pareto evolutionary algorithm. Technical Report, Nr. 103. Computer Engineering and Networks Laboratory (TIK), ETH Zürich 2001, doi:10.3929/ETHZ-A-004284029 (ethz.ch [abgerufen am 4. März 2022]).
  • Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, T. Meyarivan: A fast and elitist multiobjective genetic algorithm: NSGA-II. In: IEEE Transactions on Evolutionary Computation. Band 6, Nr. 2, April 2002, S. 182–197, doi:10.1109/4235.996017.
  • Kalyanmoy Deb, Himanshu Jain: An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. In: IEEE Transactions on Evolutionary Computation. Band 18, Nr. 4, August 2014, ISSN 1089-778X, S. 577–601, doi:10.1109/TEVC.2013.2281535 (ieee.org [abgerufen am 4. März 2022]).
  • Himanshu Jain, Kalyanmoy Deb: An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach. In: IEEE Transactions on Evolutionary Computation. Band 18, Nr. 4, August 2014, ISSN 1089-778X, S. 602–622, doi:10.1109/TEVC.2013.2281534 (ieee.org [abgerufen am 4. März 2022]).
  • Kaisa Miettinen: Nonlinear Multiobjective Optimization (= International Series in Operations Research & Management Science. Band 12). Springer US, Boston, MA 1998, ISBN 1-4613-7544-4, doi:10.1007/978-1-4615-5563-6.
  • Wilfried Jakob: Applying Evolutionary Algorithms Successfully: A Guide Gained from Real-world Applications. Karlsruher Institut für Technologie (KIT), 2021, doi:10.5445/ir/1000135763, arxiv:2107.11300.

elsevier.com

linkinghub.elsevier.com

  • Yaochu Jin: Surrogate-assisted evolutionary computation: Recent advances and future challenges. In: Swarm and Evolutionary Computation. Band 1, Nr. 2, Juni 2011, S. 61–70, doi:10.1016/j.swevo.2011.05.001 (elsevier.com [abgerufen am 27. Februar 2023]).

emis.de

subs.emis.de

  • Paul Jähne: Overview of the current state of research on parallelisation of evolutionary algorithms on graphic cards. In: H.C. Mayr, M. Pinzger (Hrsg.): Informatik 2016 Tagung vom 26. - 30. September 2016. Gesellschaft für Informatik, Bonn 2016, ISBN 978-3-88579-653-4 (emis.de [PDF; abgerufen am 17. Februar 2023]).

ethz.ch

research-collection.ethz.ch

  • Eckart Zitzler, Marco Laumanns, Lothar Thiele: SPEA2: Improving the strength pareto evolutionary algorithm. Technical Report, Nr. 103. Computer Engineering and Networks Laboratory (TIK), ETH Zürich 2001, doi:10.3929/ETHZ-A-004284029 (ethz.ch [abgerufen am 4. März 2022]).

ieee.org

ieeexplore.ieee.org

  • Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen: Data-Driven Evolutionary Optimization: An Overview and Case Studies. In: IEEE Transactions on Evolutionary Computation. Band 23, Nr. 3, Juni 2019, ISSN 1089-778X, S. 442–458, doi:10.1109/TEVC.2018.2869001 (ieee.org [abgerufen am 27. Februar 2023]).
  • Kalyanmoy Deb, Himanshu Jain: An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. In: IEEE Transactions on Evolutionary Computation. Band 18, Nr. 4, August 2014, ISSN 1089-778X, S. 577–601, doi:10.1109/TEVC.2013.2281535 (ieee.org [abgerufen am 4. März 2022]).
  • Himanshu Jain, Kalyanmoy Deb: An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach. In: IEEE Transactions on Evolutionary Computation. Band 18, Nr. 4, August 2014, ISSN 1089-778X, S. 602–622, doi:10.1109/TEVC.2013.2281534 (ieee.org [abgerufen am 4. März 2022]).

mit.edu

direct.mit.edu

  • Carlos M. Fonseca, Peter J. Fleming: An Overview of Evolutionary Algorithms in Multiobjective Optimization. In: Evolutionary Computation. Band 3, Nr. 1, März 1995, ISSN 1063-6560, S. 1–16, doi:10.1162/evco.1995.3.1.1 (mit.edu [abgerufen am 7. März 2022]).

zdb-katalog.de

  • Y. Jin: A comprehensive survey of fitness approximation in evolutionary computation. In: Soft Computing. Band 9, Nr. 1, 1. Januar 2005, ISSN 1433-7479, S. 3–12, doi:10.1007/s00500-003-0328-5.
  • Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen: Data-Driven Evolutionary Optimization: An Overview and Case Studies. In: IEEE Transactions on Evolutionary Computation. Band 23, Nr. 3, Juni 2019, ISSN 1089-778X, S. 442–458, doi:10.1109/TEVC.2018.2869001 (ieee.org [abgerufen am 27. Februar 2023]).
  • Wilfried Jakob, Christian Blume: Pareto Optimization or Cascaded Weighted Sum: A Comparison of Concepts. In: Algorithms. Band 7, Nr. 2, 2. April 2014, ISSN 1999-4893, S. 166–185, doi:10.3390/a7010166, arxiv:2203.02697.
  • Carlos M. Fonseca, Peter J. Fleming: An Overview of Evolutionary Algorithms in Multiobjective Optimization. In: Evolutionary Computation. Band 3, Nr. 1, März 1995, ISSN 1063-6560, S. 1–16, doi:10.1162/evco.1995.3.1.1 (mit.edu [abgerufen am 7. März 2022]).
  • Kalyanmoy Deb, Himanshu Jain: An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. In: IEEE Transactions on Evolutionary Computation. Band 18, Nr. 4, August 2014, ISSN 1089-778X, S. 577–601, doi:10.1109/TEVC.2013.2281535 (ieee.org [abgerufen am 4. März 2022]).
  • Himanshu Jain, Kalyanmoy Deb: An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach. In: IEEE Transactions on Evolutionary Computation. Band 18, Nr. 4, August 2014, ISSN 1089-778X, S. 602–622, doi:10.1109/TEVC.2013.2281534 (ieee.org [abgerufen am 4. März 2022]).