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Memetischer Algorithmus (German Wikipedia)

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

refsWebsite
Global rank German rank
43doi.org
2nd place
3rd place
20zdb-katalog.de
123rd place
6th place
6ieee.org
652nd place
864th place
4mit.edu
415th place
779th place
3elsevier.com
610th place
521st place
1researchgate.net
120th place
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1springer.com
274th place
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1kit.edu
6,505th place
962nd place
1bl.uk
1,234th place
3,103rd place
1byu.edu
1,687th place
2,177th place
1semanticscholar.org
11th place
1,120th place

bl.uk

ethos.bl.uk

  • Natalio Krasnogor: Studies on the Theory and Design Space of Memetic Algorithms. Dissertation. University of the West of England, Bristol, UK 2002, S. 23 (englisch, bl.uk).

byu.edu

axon.cs.byu.edu

  • David Hilton Wolpert, William G. Macready: No free lunch theorems for search. In: Technical Report. SFI-TR-95-02-010. Santa Fe Institute, Sante Fe, NM, USA 1995 (byu.edu [PDF]).

doi.org

  • Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan: A Multi-Facet Survey on Memetic Computation. In: IEEE Transactions on Evolutionary Computation. Band 15, Nr. 5, Oktober 2011, ISSN 1089-778X, S. 591–607, doi:10.1109/TEVC.2011.2132725 (ieee.org [abgerufen am 14. September 2023]).
  • Yew-Soon Ong, Meng Lim, Xianshun Chen: Research Frontier: Memetic Computation - Past, Present & Future. In: IEEE Computational Intelligence Magazine. Band 5, Nr. 2, Mai 2010, ISSN 1556-603X, S. 24–31, doi:10.1109/MCI.2010.936309 (ieee.org [abgerufen am 14. September 2023]).
  • Wilfried Jakob: HyGLEAM - an Approach to Generally Applicable Hybridization of Evolutionary Algorithms. In: J.J. Merelo et al. (Hrsg.): Conf. Proc. of Parallel Problem Solving from Nature (PPSN VII). LNCS 2439. Springer, Berlin, Heidelberg, New York 2002, S. 527–536, doi:10.1007/3-540-45712-7_51 (kit.edu).
  • Carlos Cotta, Antonio J. Fernàndez: Memetic Algorithms in Planning, Scheduling, and Timetabling. In: Evolutionary Scheduling. Band 49. Springer, Berlin, Heidelberg 2007, ISBN 978-3-540-48582-7, S. 1–30, doi:10.1007/978-3-540-48584-1_1.
  • Philippe Galinier, Zied Boujbel, Michael Coutinho Fernandes: An efficient memetic algorithm for the graph partitioning problem. In: Annals of Operations Research. Band 191, Nr. 1, November 2011, ISSN 0254-5330, S. 1–22, doi:10.1007/s10479-011-0983-3.
  • Zhipeng Lü, Jin-Kao Hao: A memetic algorithm for graph coloring. In: European Journal of Operational Research. Band 203, Nr. 1, Mai 2010, S. 241–250, doi:10.1016/j.ejor.2009.07.016 (elsevier.com [abgerufen am 20. September 2023]).
  • Gregory Gutin, Daniel Karapetyan: A memetic algorithm for the generalized traveling salesman problem. In: Natural Computing. Band 9, Nr. 1, März 2010, ISSN 1567-7818, S. 47–60, doi:10.1007/s11047-009-9111-6.
  • Abdellah Rezoug, Dalila Boughaci, Mohamed Badr-El-Den: Memetic Algorithm for Solving the 0-1 Multidimensional Knapsack Problem. In: Progress in Artificial Intelligence. Band 9273. Springer International Publishing, Cham 2015, ISBN 978-3-319-23484-7, S. 298–304, doi:10.1007/978-3-319-23485-4_31.
  • Ender Özcan, Can Başaran: A case study of memetic algorithms for constraint optimization. In: Soft Computing. Band 13, Nr. 8–9, Juli 2009, ISSN 1432-7643, S. 871–882, doi:10.1007/s00500-008-0354-4.
  • P. Thainiam: The Effects of Memes on Memetic Algorithms for Solving Quadratic Assignment Problem. IEEE, 2019, ISBN 978-1-72813-804-6, S. 1334–1338, doi:10.1109/IEEM44572.2019.8978780 (ieee.org [abgerufen am 20. September 2023]).
  • Kristina Yancey Spencer, Pavel V. Tsvetkov, Joshua J. Jarrell: A greedy memetic algorithm for a multiobjective dynamic bin packing problem for storing cooling objects. In: Journal of Heuristics. Band 25, Nr. 1, Februar 2019, ISSN 1381-1231, S. 1–45, doi:10.1007/s10732-018-9382-0.
  • D.H. Wolpert, W.G. Macready: No free lunch theorems for optimization. In: IEEE Transactions on Evolutionary Computation. Band 1, Nr. 1, April 1997, S. 67–82, doi:10.1109/4235.585893.
  • William E. Hart, Natalio Krasnogor, Jim E. Smith: Editorial Introduction. In: Evolutionary Computation. special issue on memetic algorithms. Band 12, Nr. 3. MIT Press, 2004, S. v-vi, doi:10.1162/1063656041775009 (mit.edu [PDF]).
  • William E. Hart: Adaptive Global Optimization with Local Search. Dissertation. University of California, USA 1994, doi:10.5555/221524.
  • Wilfried Jakob: A general cost-benefit-based adaptation framework for multimeme algorithms. In: Memetic Computing. Band 2, Nr. 3, September 2010, ISSN 1865-9284, S. 201–218, doi:10.1007/s12293-010-0040-9.
  • Y.S. Ong, A.J. Keane: Meta-Lamarckian Learning in Memetic Algorithms. In: IEEE Transactions on Evolutionary Computation. Band 8, Nr. 2, April 2004, ISSN 1089-778X, S. 99–110, doi:10.1109/TEVC.2003.819944.
  • James M. Ortega, Maxine L. Rockoff: Nonlinear Difference Equations and Gauss-Seidel Type Iterative Methods. In: SIAM Journal on Numerical Analysis. Band 3, Nr. 3, September 1966, ISSN 0036-1429, S. 497–513, doi:10.1137/0703043.
  • M. J. Box: A New Method of Constrained Optimization and a Comparison With Other Methods. In: The Computer Journal. Band 8, Nr. 1, 1. April 1965, ISSN 0010-4620, S. 42–52, doi:10.1093/comjnl/8.1.42.
  • H. H. Rosenbrock: An Automatic Method for Finding the Greatest or Least Value of a Function. In: The Computer Journal. Band 3, Nr. 3, 1. März 1960, ISSN 0010-4620, S. 175–184, doi:10.1093/comjnl/3.3.175.
  • Frédéric Gruau, Darrell Whitley: Adding Learning to the Cellular Development of Neural Networks: Evolution and the Baldwin Effect. In: Evolutionary Computation. Band 1, Nr. 3, September 1993, ISSN 1063-6560, S. 213–233, doi:10.1162/evco.1993.1.3.213 (mit.edu [abgerufen am 31. Januar 2022]).
  • Darrell Whitley, Vahl Scott Gordon, Keith E. Mathias: Lamarckian Evolution, the Baldwin Effect and Function Optimization. In: Parallel Problem Solving from Nature (PPSN III). LNCS, Nr. 866. Springer, Berlin, Heidelberg 1994, ISBN 3-540-58484-6, S. 5–15, doi:10.1007/3-540-58484-6_245.
  • K.W.C. Ku, Man Wai Mak, Wan-Chi Siu: A study of the Lamarckian evolution of recurrent neural networks. In: IEEE Transactions on Evolutionary Computation. Band 4, Nr. 1, April 2000, S. 31–42, doi:10.1109/4235.843493.
  • Mark William Shannon Land: Evolutionary Algorithms with Local Search for Combinatorial Optimization. Dissertation. University of California, 1998, doi:10.5555/928346.
  • James E. Smith: Self-Adaptation in Evolutionary Algorithms for Combinatorial Optimisation. In: Adaptive and Multilevel Metaheuristics. Band 136. Springer, Berlin, Heidelberg 2008, ISBN 978-3-540-79437-0, S. 31–57, doi:10.1007/978-3-540-79438-7_2.
  • James E. Smith: Self-adaptative and Coevolving Memetic Algorithms. In: Ferrante Neri, Carlos Cotta, Pablo Moscato (Hrsg.): Handbook of Memetic Algorithms. SCI, Nr. 379. Springer, Berlin, Heidelberg 2012, ISBN 978-3-642-23246-6, doi:10.1007/978-3-642-23247-3.
  • J.E. Smith: The Co-Evolution of Memetic Algorithms for Protein Structure Prediction. In: William E. Hart, J. E. Smith, N. Krasnogor (Hrsg.): Recent Advances in Memetic Algorithms (= Studies in Fuzziness and Soft Computing). Band 166. Springer-Verlag, Berlin, Heidelberg 2005, ISBN 3-540-22904-3, S. 105–128, doi:10.1007/3-540-32363-5.
  • Christian Prins, Samir Bouchenoua: A Memetic Algorithm Solving the VRP, the CARP and General Routing Problems with Nodes, Edges and Arcs. In: William E. Hart, Natalio Krasnogor, James E. Smith (Hrsg.): Recent Advances in Memetic Algorithms. Studies in Fuzziness and Soft Computing, Nr. 166. Springer, Berlin, Heidelberg 2005, ISBN 3-540-22904-3, S. 65–85, doi:10.1007/3-540-32363-5.
  • Shawki Areibi, Zhen Yang: Effective Memetic Algorithms for VLSI Design = Genetic Algorithms + Local Search + Multi-Level Clustering. In: Evolutionary Computation. Band 12, Nr. 3, September 2004, ISSN 1063-6560, S. 327–353, doi:10.1162/1063656041774947 (mit.edu [abgerufen am 20. September 2023]).
  • David A. Pelta, Natalio Krasnogor: Multimeme Algorithms Using Fuzzy Logic Based Memes For Protein Structure Prediction. In: William E. Hart, J. E. Smith, N. Krasnogor (Hrsg.): Recent Advances in Memetic Algorithms (= Studies in Fuzziness and Soft Computing). Band 166. Springer-Verlag, Berlin/Heidelberg 2005, ISBN 3-540-22904-3, S. 49–64, doi:10.1007/3-540-32363-5.
  • Ender Özcan: Memes, Self-generation and Nurse Rostering. In: Practice and Theory of Automated Timetabling VI. Band 3867. Springer Berlin Heidelberg, Berlin, Heidelberg 2007, ISBN 978-3-540-77344-3, S. 85–104, doi:10.1007/978-3-540-77345-0_6.
  • E. K. Burke, A. J. Smith: A memetic algorithm to schedule planned maintenance for the national grid. In: ACM Journal of Experimental Algorithmics. Band 4, 31. Dezember 1999, ISSN 1084-6654, S. 1, doi:10.1145/347792.347801.
  • Daniel Costa: An Evolutionary Tabu Search Algorithm And The NHL Scheduling Problem. In: INFOR: Information Systems and Operational Research. Band 33, Nr. 3, August 1995, ISSN 0315-5986, S. 161–178, doi:10.1080/03155986.1995.11732279.
  • A. Alkan, E. Ozcan: Memetic algorithms for timetabling. Band 3. IEEE, 2003, ISBN 0-7803-7804-0, S. 1796–1802, doi:10.1109/CEC.2003.1299890 (ieee.org [abgerufen am 20. September 2023]).
  • 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.
  • Andrea Caponio, Ferrante Neri: Memetic Algorithms in Engineering and Design. In: Ferrante Neri, Carlos Cotta, Pablo Moscato (Hrsg.): Handbook of Memetic Algorithms. Serie Studies in Computational Intelligence, Nr. 379. Springer, Berlin, Heidelberg 2012, ISBN 978-3-642-23246-6, doi:10.1007/978-3-642-23247-3.
  • Dongsu Lee, Seungho Lee, Jong-Wook Kim, Cheol-Gyun Lee, Sang-Yong Jung: Intelligent Memetic Algorithm Using GA and Guided MADS for the Optimal Design of Interior PM Synchronous Machine. In: IEEE Transactions on Magnetics. Band 47, Nr. 5, Mai 2011, ISSN 0018-9464, S. 1230–1233, doi:10.1109/TMAG.2010.2072913 (ieee.org [abgerufen am 20. September 2023]).
  • Shawki Areibi, Zhen Yang: Effective Memetic Algorithms for VLSI Design = Genetic Algorithms + Local Search + Multi-Level Clustering. In: Evolutionary Computation. Band 12, Nr. 3, September 2004, ISSN 1063-6560, S. 327–353, doi:10.1162/1063656041774947 (mit.edu [abgerufen am 20. September 2023]).
  • Peter Merz, Andreas Zell: Clustering Gene Expression Profiles with Memetic Algorithms. In: Parallel Problem Solving from Nature — PPSN VII. Band 2439. Springer Berlin Heidelberg, Berlin, Heidelberg 2002, ISBN 3-540-44139-5, S. 811–820, doi:10.1007/3-540-45712-7_78.
  • Ender Özcan, Esin Onbaşioğlu: Memetic Algorithms for Parallel Code Optimization. In: International Journal of Parallel Programming. Band 35, Nr. 1, 1. Februar 2007, ISSN 1573-7640, S. 33–61, doi:10.1007/s10766-006-0026-x.
  • Pablo Moscato, Luke Mathieson: Memetic Algorithms for Business Analytics and Data Science: A Brief Survey. In: Business and Consumer Analytics: New Ideas. Springer International Publishing, Cham 2019, ISBN 978-3-03006222-4, S. 545–608, doi:10.1007/978-3-030-06222-4_13.
  • Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash: Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework. In: IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). Band 37, Nr. 1, Februar 2007, ISSN 1083-4419, S. 70–76, doi:10.1109/TSMCB.2006.883267 (ieee.org [abgerufen am 20. September 2023]).
  • Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash: Markov blanket-embedded genetic algorithm for gene selection. In: Pattern Recognition. Band 40, Nr. 11, November 2007, S. 3236–3248, doi:10.1016/j.patcog.2007.02.007 (elsevier.com [abgerufen am 20. September 2023]).
  • Edmund K. Burke, Patrick De Causmaecker, Geert De Maere, Jeroen Mulder, Marc Paelinck, Greet Vanden Berghe: A multi-objective approach for robust airline scheduling. In: Computers & Operations Research. Band 37, Nr. 5, Mai 2010, S. 822–832, doi:10.1016/j.cor.2009.03.026 (elsevier.com [abgerufen am 31. Januar 2022]).

elsevier.com

linkinghub.elsevier.com

  • Zhipeng Lü, Jin-Kao Hao: A memetic algorithm for graph coloring. In: European Journal of Operational Research. Band 203, Nr. 1, Mai 2010, S. 241–250, doi:10.1016/j.ejor.2009.07.016 (elsevier.com [abgerufen am 20. September 2023]).
  • Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash: Markov blanket-embedded genetic algorithm for gene selection. In: Pattern Recognition. Band 40, Nr. 11, November 2007, S. 3236–3248, doi:10.1016/j.patcog.2007.02.007 (elsevier.com [abgerufen am 20. September 2023]).
  • Edmund K. Burke, Patrick De Causmaecker, Geert De Maere, Jeroen Mulder, Marc Paelinck, Greet Vanden Berghe: A multi-objective approach for robust airline scheduling. In: Computers & Operations Research. Band 37, Nr. 5, Mai 2010, S. 822–832, doi:10.1016/j.cor.2009.03.026 (elsevier.com [abgerufen am 31. Januar 2022]).

ieee.org

ieeexplore.ieee.org

  • Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan: A Multi-Facet Survey on Memetic Computation. In: IEEE Transactions on Evolutionary Computation. Band 15, Nr. 5, Oktober 2011, ISSN 1089-778X, S. 591–607, doi:10.1109/TEVC.2011.2132725 (ieee.org [abgerufen am 14. September 2023]).
  • Yew-Soon Ong, Meng Lim, Xianshun Chen: Research Frontier: Memetic Computation - Past, Present & Future. In: IEEE Computational Intelligence Magazine. Band 5, Nr. 2, Mai 2010, ISSN 1556-603X, S. 24–31, doi:10.1109/MCI.2010.936309 (ieee.org [abgerufen am 14. September 2023]).
  • P. Thainiam: The Effects of Memes on Memetic Algorithms for Solving Quadratic Assignment Problem. IEEE, 2019, ISBN 978-1-72813-804-6, S. 1334–1338, doi:10.1109/IEEM44572.2019.8978780 (ieee.org [abgerufen am 20. September 2023]).
  • A. Alkan, E. Ozcan: Memetic algorithms for timetabling. Band 3. IEEE, 2003, ISBN 0-7803-7804-0, S. 1796–1802, doi:10.1109/CEC.2003.1299890 (ieee.org [abgerufen am 20. September 2023]).
  • Dongsu Lee, Seungho Lee, Jong-Wook Kim, Cheol-Gyun Lee, Sang-Yong Jung: Intelligent Memetic Algorithm Using GA and Guided MADS for the Optimal Design of Interior PM Synchronous Machine. In: IEEE Transactions on Magnetics. Band 47, Nr. 5, Mai 2011, ISSN 0018-9464, S. 1230–1233, doi:10.1109/TMAG.2010.2072913 (ieee.org [abgerufen am 20. September 2023]).
  • Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash: Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework. In: IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). Band 37, Nr. 1, Februar 2007, ISSN 1083-4419, S. 70–76, doi:10.1109/TSMCB.2006.883267 (ieee.org [abgerufen am 20. September 2023]).

kit.edu

publikationen.bibliothek.kit.edu

  • Wilfried Jakob: HyGLEAM - an Approach to Generally Applicable Hybridization of Evolutionary Algorithms. In: J.J. Merelo et al. (Hrsg.): Conf. Proc. of Parallel Problem Solving from Nature (PPSN VII). LNCS 2439. Springer, Berlin, Heidelberg, New York 2002, S. 527–536, doi:10.1007/3-540-45712-7_51 (kit.edu).

mit.edu

direct.mit.edu

  • William E. Hart, Natalio Krasnogor, Jim E. Smith: Editorial Introduction. In: Evolutionary Computation. special issue on memetic algorithms. Band 12, Nr. 3. MIT Press, 2004, S. v-vi, doi:10.1162/1063656041775009 (mit.edu [PDF]).
  • Frédéric Gruau, Darrell Whitley: Adding Learning to the Cellular Development of Neural Networks: Evolution and the Baldwin Effect. In: Evolutionary Computation. Band 1, Nr. 3, September 1993, ISSN 1063-6560, S. 213–233, doi:10.1162/evco.1993.1.3.213 (mit.edu [abgerufen am 31. Januar 2022]).
  • Shawki Areibi, Zhen Yang: Effective Memetic Algorithms for VLSI Design = Genetic Algorithms + Local Search + Multi-Level Clustering. In: Evolutionary Computation. Band 12, Nr. 3, September 2004, ISSN 1063-6560, S. 327–353, doi:10.1162/1063656041774947 (mit.edu [abgerufen am 20. September 2023]).
  • Shawki Areibi, Zhen Yang: Effective Memetic Algorithms for VLSI Design = Genetic Algorithms + Local Search + Multi-Level Clustering. In: Evolutionary Computation. Band 12, Nr. 3, September 2004, ISSN 1063-6560, S. 327–353, doi:10.1162/1063656041774947 (mit.edu [abgerufen am 20. September 2023]).

researchgate.net

  • Pablo Moscato: On Evolution, Search, Optimization, Genetic Algorithms and MartialArts: Towards Memetic Algorithms. Caltech Concurrent Computation Program, Technical Report 826. California Institute of Technology, Pasadena, CA, USA 1989, S. 19–20 (researchgate.net [PDF]).

semanticscholar.org

  • David Orvosh, Lawrence Davis: Shall We Repair? Genetic Algorithms, Combinatorial Optimization, and Feasibility Constraints. In: S. Forrest (Hrsg.): Conf. Proc. of Int. Conf. on Genetic Algorithms (ICGA). Morgan Kaufmann, San Mateo, CA, USA 1993, S. 650 (semanticscholar.org).

springer.com

  • Memetic Computing. Aims and Scope of the Journal. International Journal, seit März 2009. Springer, Berlin, Heidelberg, New York (springer.com).

zdb-katalog.de

  • Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan: A Multi-Facet Survey on Memetic Computation. In: IEEE Transactions on Evolutionary Computation. Band 15, Nr. 5, Oktober 2011, ISSN 1089-778X, S. 591–607, doi:10.1109/TEVC.2011.2132725 (ieee.org [abgerufen am 14. September 2023]).
  • Yew-Soon Ong, Meng Lim, Xianshun Chen: Research Frontier: Memetic Computation - Past, Present & Future. In: IEEE Computational Intelligence Magazine. Band 5, Nr. 2, Mai 2010, ISSN 1556-603X, S. 24–31, doi:10.1109/MCI.2010.936309 (ieee.org [abgerufen am 14. September 2023]).
  • Philippe Galinier, Zied Boujbel, Michael Coutinho Fernandes: An efficient memetic algorithm for the graph partitioning problem. In: Annals of Operations Research. Band 191, Nr. 1, November 2011, ISSN 0254-5330, S. 1–22, doi:10.1007/s10479-011-0983-3.
  • Gregory Gutin, Daniel Karapetyan: A memetic algorithm for the generalized traveling salesman problem. In: Natural Computing. Band 9, Nr. 1, März 2010, ISSN 1567-7818, S. 47–60, doi:10.1007/s11047-009-9111-6.
  • Ender Özcan, Can Başaran: A case study of memetic algorithms for constraint optimization. In: Soft Computing. Band 13, Nr. 8–9, Juli 2009, ISSN 1432-7643, S. 871–882, doi:10.1007/s00500-008-0354-4.
  • Kristina Yancey Spencer, Pavel V. Tsvetkov, Joshua J. Jarrell: A greedy memetic algorithm for a multiobjective dynamic bin packing problem for storing cooling objects. In: Journal of Heuristics. Band 25, Nr. 1, Februar 2019, ISSN 1381-1231, S. 1–45, doi:10.1007/s10732-018-9382-0.
  • Wilfried Jakob: A general cost-benefit-based adaptation framework for multimeme algorithms. In: Memetic Computing. Band 2, Nr. 3, September 2010, ISSN 1865-9284, S. 201–218, doi:10.1007/s12293-010-0040-9.
  • Y.S. Ong, A.J. Keane: Meta-Lamarckian Learning in Memetic Algorithms. In: IEEE Transactions on Evolutionary Computation. Band 8, Nr. 2, April 2004, ISSN 1089-778X, S. 99–110, doi:10.1109/TEVC.2003.819944.
  • James M. Ortega, Maxine L. Rockoff: Nonlinear Difference Equations and Gauss-Seidel Type Iterative Methods. In: SIAM Journal on Numerical Analysis. Band 3, Nr. 3, September 1966, ISSN 0036-1429, S. 497–513, doi:10.1137/0703043.
  • M. J. Box: A New Method of Constrained Optimization and a Comparison With Other Methods. In: The Computer Journal. Band 8, Nr. 1, 1. April 1965, ISSN 0010-4620, S. 42–52, doi:10.1093/comjnl/8.1.42.
  • H. H. Rosenbrock: An Automatic Method for Finding the Greatest or Least Value of a Function. In: The Computer Journal. Band 3, Nr. 3, 1. März 1960, ISSN 0010-4620, S. 175–184, doi:10.1093/comjnl/3.3.175.
  • Frédéric Gruau, Darrell Whitley: Adding Learning to the Cellular Development of Neural Networks: Evolution and the Baldwin Effect. In: Evolutionary Computation. Band 1, Nr. 3, September 1993, ISSN 1063-6560, S. 213–233, doi:10.1162/evco.1993.1.3.213 (mit.edu [abgerufen am 31. Januar 2022]).
  • Shawki Areibi, Zhen Yang: Effective Memetic Algorithms for VLSI Design = Genetic Algorithms + Local Search + Multi-Level Clustering. In: Evolutionary Computation. Band 12, Nr. 3, September 2004, ISSN 1063-6560, S. 327–353, doi:10.1162/1063656041774947 (mit.edu [abgerufen am 20. September 2023]).
  • E. K. Burke, A. J. Smith: A memetic algorithm to schedule planned maintenance for the national grid. In: ACM Journal of Experimental Algorithmics. Band 4, 31. Dezember 1999, ISSN 1084-6654, S. 1, doi:10.1145/347792.347801.
  • Daniel Costa: An Evolutionary Tabu Search Algorithm And The NHL Scheduling Problem. In: INFOR: Information Systems and Operational Research. Band 33, Nr. 3, August 1995, ISSN 0315-5986, S. 161–178, doi:10.1080/03155986.1995.11732279.
  • 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.
  • Dongsu Lee, Seungho Lee, Jong-Wook Kim, Cheol-Gyun Lee, Sang-Yong Jung: Intelligent Memetic Algorithm Using GA and Guided MADS for the Optimal Design of Interior PM Synchronous Machine. In: IEEE Transactions on Magnetics. Band 47, Nr. 5, Mai 2011, ISSN 0018-9464, S. 1230–1233, doi:10.1109/TMAG.2010.2072913 (ieee.org [abgerufen am 20. September 2023]).
  • Shawki Areibi, Zhen Yang: Effective Memetic Algorithms for VLSI Design = Genetic Algorithms + Local Search + Multi-Level Clustering. In: Evolutionary Computation. Band 12, Nr. 3, September 2004, ISSN 1063-6560, S. 327–353, doi:10.1162/1063656041774947 (mit.edu [abgerufen am 20. September 2023]).
  • Ender Özcan, Esin Onbaşioğlu: Memetic Algorithms for Parallel Code Optimization. In: International Journal of Parallel Programming. Band 35, Nr. 1, 1. Februar 2007, ISSN 1573-7640, S. 33–61, doi:10.1007/s10766-006-0026-x.
  • Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash: Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework. In: IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). Band 37, Nr. 1, Februar 2007, ISSN 1083-4419, S. 70–76, doi:10.1109/TSMCB.2006.883267 (ieee.org [abgerufen am 20. September 2023]).