Evolutionary algorithm (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Evolutionary algorithm" in English language version.

refsWebsite

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36doi.org

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16worldcat.org

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14springer.com

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13semanticscholar.org

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4ieee.org

652^nd place

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3nih.gov

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2arxiv.org

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2web.archive.org

1^st place

2elsevier.com

610^th place

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2wiley.com

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1ifte.de

low place

1evostar.org

low place

1harvard.edu

18^th place

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1ofria.com

low place

1jeffclune.com

low place

1gene-expression-programming.com

low place

1handle.net

102^nd place

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1kit.edu

6,505^th place

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1science.org

1,160^th place

737^th place

1tamucc.edu

low place

arxiv.org

Cully, Antoine; Clune, Jeff; Tarapore, Danesh; Mouret, Jean-Baptiste (2015-05-27). "Robots that can adapt like animals". Nature. 521 (7553): 503–507. arXiv:1407.3501. Bibcode:2015Natur.521..503C. doi:10.1038/nature14422. ISSN 0028-0836. PMID 26017452. S2CID 3467239.
Jakob, Wilfried (2021), Applying Evolutionary Algorithms Successfully - A Guide Gained from Realworld Applications, KIT Scientific Working Papers, vol. 170, Karlsruhe, FRG: KIT Scientific Publishing, arXiv:2107.11300, doi:10.5445/IR/1000135763, S2CID 236318422, retrieved 2022-12-23

doi.org

Vikhar, P. A. (2016). "Evolutionary algorithms: A critical review and its future prospects". 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC). Jalgaon. pp. 261–265. doi:10.1109/ICGTSPICC.2016.7955308. ISBN 978-1-5090-0467-6. S2CID 22100336.{{cite book}}: CS1 maint: location missing publisher (link)
Slowik, Adam; Kwasnicka, Halina (2020). "Evolutionary algorithms and their applications to engineering problems". Neural Computing and Applications. 32 (16): 12363–12379. doi:10.1007/s00521-020-04832-8. ISSN 0941-0643. S2CID 212732659.
Mika, Marek; Waligóra, Grzegorz; Węglarz, Jan (2011). "Modelling and solving grid resource allocation problem with network resources for workflow applications". Journal of Scheduling. 14 (3): 291–306. doi:10.1007/s10951-009-0158-0. ISSN 1094-6136. S2CID 31859338.
Nissen, Volker; Krause, Matthias (1994), "Constrained Combinatorial Optimization with an Evolution Strategy", in Reusch, Bernd (ed.), Fuzzy Logik, Informatik aktuell, Berlin, Heidelberg: Springer, pp. 33–40, doi:10.1007/978-3-642-79386-8_5, ISBN 978-3-642-79386-8
Coelho, V. N.; Coelho, I. M.; Souza, M. J. F.; Oliveira, T. A.; Cota, L. P.; Haddad, M. N.; Mladenovic, N.; Silva, R. C. P.; Guimarães, F. G. (2016). "Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems". Evol Comput. 24 (4): 637–666. doi:10.1162/EVCO_a_00187. PMID 27258842. S2CID 13582781.
Ma, Xiaoliang; Li, Xiaodong; Zhang, Qingfu; Tang, Ke; Liang, Zhengping; Xie, Weixin; Zhu, Zexuan (2019), "A Survey on Cooperative Co-Evolutionary Algorithms.", IEEE Transactions on Evolutionary Computation, 23 (3): 421–441, doi:10.1109/TEVC.2018.2868770, S2CID 125149900, retrieved 2023-05-22
Popovici, Elena; Bucci, Anthony; Wiegand, R. Paul; De Jong, Edwin D. (2012). "Coevolutionary Principles". In Rozenberg, Grzegorz; Bäck, Thomas; Kok, Joost N. (eds.). Handbook of Natural Computing. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 987–1033. doi:10.1007/978-3-540-92910-9_31. ISBN 978-3-540-92910-9.
Pugh, Justin K.; Soros, Lisa B.; Stanley, Kenneth O. (2016-07-12). "Quality Diversity: A New Frontier for Evolutionary Computation". Frontiers in Robotics and AI. 3. doi:10.3389/frobt.2016.00040. ISSN 2296-9144.
Lehman, Joel; Stanley, Kenneth O. (2011-07-12). "Evolving a diversity of virtual creatures through novelty search and local competition". Proceedings of the 13th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM. pp. 211–218. doi:10.1145/2001576.2001606. ISBN 9781450305570. S2CID 17338175.
Cully, Antoine; Clune, Jeff; Tarapore, Danesh; Mouret, Jean-Baptiste (2015-05-27). "Robots that can adapt like animals". Nature. 521 (7553): 503–507. arXiv:1407.3501. Bibcode:2015Natur.521..503C. doi:10.1038/nature14422. ISSN 0028-0836. PMID 26017452. S2CID 3467239.
Lienig, Jens; Brandt, Holger (1994), Davidor, Yuval; Schwefel, Hans-Paul; Männer, Reinhard (eds.), "An evolutionary algorithm for the routing of multi-chip modules", Parallel Problem Solving from Nature — PPSN III, vol. 866, Berlin, Heidelberg: Springer, pp. 588–597, doi:10.1007/3-540-58484-6_301, ISBN 978-3-540-58484-1, retrieved 2022-10-18
Neri, Ferrante; Cotta, Carlos; Moscato, Pablo, eds. (2012). Handbook of Memetic Algorithms. Studies in Computational Intelligence. Vol. 379. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-23247-3. ISBN 978-3-642-23246-6.
Leung, Yee; Gao, Yong; Xu, Zong-Ben (1997). "Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis". IEEE Transactions on Neural Networks. 8 (5): 1165–1176. doi:10.1109/72.623217. ISSN 1045-9227. PMID 18255718.
Gorges-Schleuter, Martina (1998), Eiben, Agoston E.; Bäck, Thomas; Schoenauer, Marc; Schwefel, Hans-Paul (eds.), "A comparative study of global and local selection in evolution strategies", Parallel Problem Solving from Nature — PPSN V, Lecture Notes in Computer Science, vol. 1498, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 367–377, doi:10.1007/bfb0056879, ISBN 978-3-540-65078-2, retrieved 2022-10-21
Dorronsoro, Bernabe; Alba, Enrique (2008). Cellular Genetic Algorithms. Operations Research/Computer Science Interfaces Series. Vol. 42. Boston, MA: Springer US. doi:10.1007/978-0-387-77610-1. ISBN 978-0-387-77609-5.
Goldberg, David E. (1990), Schwefel, Hans-Paul; Männer, Reinhard (eds.), "The theory of virtual alphabets", Parallel Problem Solving from Nature, Lecture Notes in Computer Science, vol. 496, Berlin/Heidelberg: Springer-Verlag (published 1991), pp. 13–22, doi:10.1007/bfb0029726, ISBN 978-3-540-54148-6, retrieved 2022-10-22
Sanchez, Ernesto; Squillero, Giovanni; Tonda, Alberto (2012). Industrial Applications of Evolutionary Algorithms. Intelligent Systems Reference Library. Vol. 34. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-27467-1. ISBN 978-3-642-27466-4.
Gen, Mitsuo; Cheng, Runwei (1999-12-17). Genetic Algorithms and Engineering Optimization. Wiley Series in Engineering Design and Automation. Hoboken, NJ, USA: John Wiley & Sons, Inc. doi:10.1002/9780470172261. ISBN 978-0-470-17226-1.
Dahal, Keshav P.; Tan, Kay Chen; Cowling, Peter I. (2007). Evolutionary scheduling. Berlin: Springer. doi:10.1007/978-3-540-48584-1. ISBN 978-3-540-48584-1. OCLC 184984689.
Jakob, Wilfried; Strack, Sylvia; Quinte, Alexander; Bengel, Günther; Stucky, Karl-Uwe; Süß, Wolfgang (2013-04-22). "Fast Rescheduling of Multiple Workflows to Constrained Heterogeneous Resources Using Multi-Criteria Memetic Computing". Algorithms. 6 (2): 245–277. doi:10.3390/a6020245. ISSN 1999-4893.
Mayer, David G. (2002). Evolutionary Algorithms and Agricultural Systems. Boston, MA: Springer US. doi:10.1007/978-1-4615-1717-7. ISBN 978-1-4613-5693-6.
Blume, Christian (2000), Cagnoni, Stefano (ed.), "Optimized Collision Free Robot Move Statement Generation by the Evolutionary Software GLEAM", Real-World Applications of Evolutionary Computing, LNCS 1803, vol. 1803, Berlin, Heidelberg: Springer, pp. 330–341, doi:10.1007/3-540-45561-2_32, ISBN 978-3-540-67353-8, retrieved 2022-12-28
Aranha, Claus; Iba, Hitoshi (2008), Wobcke, Wayne; Zhang, Mengjie (eds.), "Application of a Memetic Algorithm to the Portfolio Optimization Problem", AI 2008: Advances in Artificial Intelligence, Lecture Notes in Computer Science, vol. 5360, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 512–521, doi:10.1007/978-3-540-89378-3_52, ISBN 978-3-540-89377-6, retrieved 2022-12-23
Chen, Shu-Heng, ed. (2002). Evolutionary Computation in Economics and Finance. Studies in Fuzziness and Soft Computing. Vol. 100. Heidelberg: Physica-Verlag HD. doi:10.1007/978-3-7908-1784-3. ISBN 978-3-7908-2512-1.
Lohn, J.D.; Linden, D.S.; Hornby, G.S.; Kraus, W.F. (June 2004). "Evolutionary design of an X-band antenna for NASA's Space Technology 5 mission". IEEE Antennas and Propagation Society Symposium, 2004. Vol. 3. pp. 2313–2316 Vol.3. doi:10.1109/APS.2004.1331834. hdl:2060/20030067398. ISBN 0-7803-8302-8.
Fogel, Gary; Corne, David (2003). Evolutionary Computation in Bioinformatics. Elsevier. doi:10.1016/b978-1-55860-797-2.x5000-8. ISBN 978-1-55860-797-2.
Jakob, Wilfried (2021), Applying Evolutionary Algorithms Successfully - A Guide Gained from Realworld Applications, KIT Scientific Working Papers, vol. 170, Karlsruhe, FRG: KIT Scientific Publishing, arXiv:2107.11300, doi:10.5445/IR/1000135763, S2CID 236318422, retrieved 2022-12-23
Whitley, Darrell (2001). "An overview of evolutionary algorithms: practical issues and common pitfalls". Information and Software Technology. 43 (14): 817–831. doi:10.1016/S0950-5849(01)00188-4. S2CID 18637958.
Eiben, A.E.; Smith, J.E. (2015). "Working with Evolutionary Algorithms". Introduction to Evolutionary Computing. Natural Computing Series (2nd ed.). Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 147–163. doi:10.1007/978-3-662-44874-8. ISBN 978-3-662-44873-1. S2CID 20912932.
Slowik, Adam; Kwasnicka, Halina (2018). "Nature Inspired Methods and Their Industry Applications—Swarm Intelligence Algorithms". IEEE Transactions on Industrial Informatics. 14 (3). Institute of Electrical and Electronics Engineers (IEEE): 1004–1015. doi:10.1109/tii.2017.2786782. ISSN 1551-3203. S2CID 3707290.
Oftadeh, R.; Mahjoob, M.J.; Shariatpanahi, M. (October 2010). "A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search". Computers & Mathematics with Applications. 60 (7): 2087–2098. doi:10.1016/j.camwa.2010.07.049.
Amine Agharghor; Mohammed Essaid Riffi (2017). "First Adaptation of Hunting Search Algorithm for the Quadratic Assignment Problem". Europe and MENA Cooperation Advances in Information and Communication Technologies. Advances in Intelligent Systems and Computing. Vol. 520. pp. 263–267. doi:10.1007/978-3-319-46568-5_27. ISBN 978-3-319-46567-8.
Simionescu, P.A.; Dozier, G.V.; Wainwright, R.L. (2006). "A Two-Population Evolutionary Algorithm for Constrained Optimization Problems". 2006 IEEE International Conference on Evolutionary Computation. Vancouver, BC, Canada: IEEE. pp. 1647–1653. doi:10.1109/CEC.2006.1688506. ISBN 978-0-7803-9487-2. S2CID 1717817.
Simionescu, P.A.; Dozier, G.V.; Wainwright, R.L. (2006). "A Two-Population Evolutionary Algorithm for Constrained Optimization Problems" (PDF). 2006 IEEE International Conference on Evolutionary Computation. Proc 2006 IEEE International Conference on Evolutionary Computation. Vancouver, Canada. pp. 1647–1653. doi:10.1109/CEC.2006.1688506. ISBN 0-7803-9487-9. S2CID 1717817. Retrieved 7 January 2017.{{cite book}}: CS1 maint: location missing publisher (link)

dx.doi.org

Lehman, Joel; Stanley, Kenneth O. (2011-07-12). "Evolving a diversity of virtual creatures through novelty search and local competition". Proceedings of the 13th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM. pp. 211–218. doi:10.1145/2001576.2001606. ISBN 9781450305570. S2CID 17338175.
Cully, Antoine; Clune, Jeff; Tarapore, Danesh; Mouret, Jean-Baptiste (2015-05-27). "Robots that can adapt like animals". Nature. 521 (7553): 503–507. arXiv:1407.3501. Bibcode:2015Natur.521..503C. doi:10.1038/nature14422. ISSN 0028-0836. PMID 26017452. S2CID 3467239.

elsevier.com

linkinghub.elsevier.com

Fogel, Gary; Corne, David (2003). Evolutionary Computation in Bioinformatics. Elsevier. doi:10.1016/b978-1-55860-797-2.x5000-8. ISBN 978-1-55860-797-2.
Whitley, Darrell (2001). "An overview of evolutionary algorithms: practical issues and common pitfalls". Information and Software Technology. 43 (14): 817–831. doi:10.1016/S0950-5849(01)00188-4. S2CID 18637958.

evostar.org

"International Conference on the Applications of Evolutionary Computation". The conference is part of the Evo* series. The conference proceedings are published by Springer. Retrieved 2022-12-23.

gene-expression-programming.com

Ferreira, C., 2001. "Gene Expression Programming: A New Adaptive Algorithm for Solving Problems". Complex Systems, Vol. 13, issue 2: 87–129.

handle.net

hdl.handle.net

Lohn, J.D.; Linden, D.S.; Hornby, G.S.; Kraus, W.F. (June 2004). "Evolutionary design of an X-band antenna for NASA's Space Technology 5 mission". IEEE Antennas and Propagation Society Symposium, 2004. Vol. 3. pp. 2313–2316 Vol.3. doi:10.1109/APS.2004.1331834. hdl:2060/20030067398. ISBN 0-7803-8302-8.

harvard.edu

ui.adsabs.harvard.edu

Cully, Antoine; Clune, Jeff; Tarapore, Danesh; Mouret, Jean-Baptiste (2015-05-27). "Robots that can adapt like animals". Nature. 521 (7553): 503–507. arXiv:1407.3501. Bibcode:2015Natur.521..503C. doi:10.1038/nature14422. ISSN 0028-0836. PMID 26017452. S2CID 3467239.

ieee.org

ieeexplore.ieee.org

Ma, Xiaoliang; Li, Xiaodong; Zhang, Qingfu; Tang, Ke; Liang, Zhengping; Xie, Weixin; Zhu, Zexuan (2019), "A Survey on Cooperative Co-Evolutionary Algorithms.", IEEE Transactions on Evolutionary Computation, 23 (3): 421–441, doi:10.1109/TEVC.2018.2868770, S2CID 125149900, retrieved 2023-05-22
Leung, Yee; Gao, Yong; Xu, Zong-Ben (1997). "Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis". IEEE Transactions on Neural Networks. 8 (5): 1165–1176. doi:10.1109/72.623217. ISSN 1045-9227. PMID 18255718.
Lohn, J.D.; Linden, D.S.; Hornby, G.S.; Kraus, W.F. (June 2004). "Evolutionary design of an X-band antenna for NASA's Space Technology 5 mission". IEEE Antennas and Propagation Society Symposium, 2004. Vol. 3. pp. 2313–2316 Vol.3. doi:10.1109/APS.2004.1331834. hdl:2060/20030067398. ISBN 0-7803-8302-8.
Simionescu, P.A.; Dozier, G.V.; Wainwright, R.L. (2006). "A Two-Population Evolutionary Algorithm for Constrained Optimization Problems". 2006 IEEE International Conference on Evolutionary Computation. Vancouver, BC, Canada: IEEE. pp. 1647–1653. doi:10.1109/CEC.2006.1688506. ISBN 978-0-7803-9487-2. S2CID 1717817.

ifte.de

Cohoon, J. P.; Karro, J.; Lienig, J. (2003). "Evolutionary Algorithms for the Physical Design of VLSI Circuits" in Advances in Evolutionary Computing: Theory and Applications (PDF). London: Springer Verlag. pp. 683–712. ISBN 978-3-540-43330-9.

jeffclune.com

J. Clune, C. Ofria, and R. T. Pennock, "How a generative encoding fares as problem-regularity decreases", in PPSN (G. Rudolph, T. Jansen, S. M. Lucas, C. Poloni, and N. Beume, eds.), vol. 5199 of Lecture Notes in Computer Science, pp. 358–367, Springer, 2008.

kit.edu

publikationen.bibliothek.kit.edu

Jakob, Wilfried (2021), Applying Evolutionary Algorithms Successfully - A Guide Gained from Realworld Applications, KIT Scientific Working Papers, vol. 170, Karlsruhe, FRG: KIT Scientific Publishing, arXiv:2107.11300, doi:10.5445/IR/1000135763, S2CID 236318422, retrieved 2022-12-23

nih.gov

pubmed.ncbi.nlm.nih.gov

Coelho, V. N.; Coelho, I. M.; Souza, M. J. F.; Oliveira, T. A.; Cota, L. P.; Haddad, M. N.; Mladenovic, N.; Silva, R. C. P.; Guimarães, F. G. (2016). "Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems". Evol Comput. 24 (4): 637–666. doi:10.1162/EVCO_a_00187. PMID 27258842. S2CID 13582781.
Cully, Antoine; Clune, Jeff; Tarapore, Danesh; Mouret, Jean-Baptiste (2015-05-27). "Robots that can adapt like animals". Nature. 521 (7553): 503–507. arXiv:1407.3501. Bibcode:2015Natur.521..503C. doi:10.1038/nature14422. ISSN 0028-0836. PMID 26017452. S2CID 3467239.
Leung, Yee; Gao, Yong; Xu, Zong-Ben (1997). "Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis". IEEE Transactions on Neural Networks. 8 (5): 1165–1176. doi:10.1109/72.623217. ISSN 1045-9227. PMID 18255718.

ofria.com

Jeff Clune, Benjamin Beckmann, Charles Ofria, and Robert Pennock. "Evolving Coordinated Quadruped Gaits with the HyperNEAT Generative Encoding" Archived 2016-06-03 at the Wayback Machine. Proceedings of the IEEE Congress on Evolutionary Computing Special Section on Evolutionary Robotics, 2009. Trondheim, Norway.

science.org

Gent, Edd (13 April 2020). "Artificial intelligence is evolving all by itself". Science | AAAS. Archived from the original on 16 April 2020. Retrieved 16 April 2020.

semanticscholar.org

api.semanticscholar.org

Vikhar, P. A. (2016). "Evolutionary algorithms: A critical review and its future prospects". 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC). Jalgaon. pp. 261–265. doi:10.1109/ICGTSPICC.2016.7955308. ISBN 978-1-5090-0467-6. S2CID 22100336.{{cite book}}: CS1 maint: location missing publisher (link)
Slowik, Adam; Kwasnicka, Halina (2020). "Evolutionary algorithms and their applications to engineering problems". Neural Computing and Applications. 32 (16): 12363–12379. doi:10.1007/s00521-020-04832-8. ISSN 0941-0643. S2CID 212732659.
Mika, Marek; Waligóra, Grzegorz; Węglarz, Jan (2011). "Modelling and solving grid resource allocation problem with network resources for workflow applications". Journal of Scheduling. 14 (3): 291–306. doi:10.1007/s10951-009-0158-0. ISSN 1094-6136. S2CID 31859338.
Coelho, V. N.; Coelho, I. M.; Souza, M. J. F.; Oliveira, T. A.; Cota, L. P.; Haddad, M. N.; Mladenovic, N.; Silva, R. C. P.; Guimarães, F. G. (2016). "Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems". Evol Comput. 24 (4): 637–666. doi:10.1162/EVCO_a_00187. PMID 27258842. S2CID 13582781.
Ma, Xiaoliang; Li, Xiaodong; Zhang, Qingfu; Tang, Ke; Liang, Zhengping; Xie, Weixin; Zhu, Zexuan (2019), "A Survey on Cooperative Co-Evolutionary Algorithms.", IEEE Transactions on Evolutionary Computation, 23 (3): 421–441, doi:10.1109/TEVC.2018.2868770, S2CID 125149900, retrieved 2023-05-22
Lehman, Joel; Stanley, Kenneth O. (2011-07-12). "Evolving a diversity of virtual creatures through novelty search and local competition". Proceedings of the 13th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM. pp. 211–218. doi:10.1145/2001576.2001606. ISBN 9781450305570. S2CID 17338175.
Cully, Antoine; Clune, Jeff; Tarapore, Danesh; Mouret, Jean-Baptiste (2015-05-27). "Robots that can adapt like animals". Nature. 521 (7553): 503–507. arXiv:1407.3501. Bibcode:2015Natur.521..503C. doi:10.1038/nature14422. ISSN 0028-0836. PMID 26017452. S2CID 3467239.
Jakob, Wilfried (2021), Applying Evolutionary Algorithms Successfully - A Guide Gained from Realworld Applications, KIT Scientific Working Papers, vol. 170, Karlsruhe, FRG: KIT Scientific Publishing, arXiv:2107.11300, doi:10.5445/IR/1000135763, S2CID 236318422, retrieved 2022-12-23
Whitley, Darrell (2001). "An overview of evolutionary algorithms: practical issues and common pitfalls". Information and Software Technology. 43 (14): 817–831. doi:10.1016/S0950-5849(01)00188-4. S2CID 18637958.
Eiben, A.E.; Smith, J.E. (2015). "Working with Evolutionary Algorithms". Introduction to Evolutionary Computing. Natural Computing Series (2nd ed.). Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 147–163. doi:10.1007/978-3-662-44874-8. ISBN 978-3-662-44873-1. S2CID 20912932.
Slowik, Adam; Kwasnicka, Halina (2018). "Nature Inspired Methods and Their Industry Applications—Swarm Intelligence Algorithms". IEEE Transactions on Industrial Informatics. 14 (3). Institute of Electrical and Electronics Engineers (IEEE): 1004–1015. doi:10.1109/tii.2017.2786782. ISSN 1551-3203. S2CID 3707290.
Simionescu, P.A.; Dozier, G.V.; Wainwright, R.L. (2006). "A Two-Population Evolutionary Algorithm for Constrained Optimization Problems". 2006 IEEE International Conference on Evolutionary Computation. Vancouver, BC, Canada: IEEE. pp. 1647–1653. doi:10.1109/CEC.2006.1688506. ISBN 978-0-7803-9487-2. S2CID 1717817.
Simionescu, P.A.; Dozier, G.V.; Wainwright, R.L. (2006). "A Two-Population Evolutionary Algorithm for Constrained Optimization Problems" (PDF). 2006 IEEE International Conference on Evolutionary Computation. Proc 2006 IEEE International Conference on Evolutionary Computation. Vancouver, Canada. pp. 1647–1653. doi:10.1109/CEC.2006.1688506. ISBN 0-7803-9487-9. S2CID 1717817. Retrieved 7 January 2017.{{cite book}}: CS1 maint: location missing publisher (link)

springer.com

link.springer.com

Mika, Marek; Waligóra, Grzegorz; Węglarz, Jan (2011). "Modelling and solving grid resource allocation problem with network resources for workflow applications". Journal of Scheduling. 14 (3): 291–306. doi:10.1007/s10951-009-0158-0. ISSN 1094-6136. S2CID 31859338.
Nissen, Volker; Krause, Matthias (1994), "Constrained Combinatorial Optimization with an Evolution Strategy", in Reusch, Bernd (ed.), Fuzzy Logik, Informatik aktuell, Berlin, Heidelberg: Springer, pp. 33–40, doi:10.1007/978-3-642-79386-8_5, ISBN 978-3-642-79386-8
Popovici, Elena; Bucci, Anthony; Wiegand, R. Paul; De Jong, Edwin D. (2012). "Coevolutionary Principles". In Rozenberg, Grzegorz; Bäck, Thomas; Kok, Joost N. (eds.). Handbook of Natural Computing. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 987–1033. doi:10.1007/978-3-540-92910-9_31. ISBN 978-3-540-92910-9.
Lienig, Jens; Brandt, Holger (1994), Davidor, Yuval; Schwefel, Hans-Paul; Männer, Reinhard (eds.), "An evolutionary algorithm for the routing of multi-chip modules", Parallel Problem Solving from Nature — PPSN III, vol. 866, Berlin, Heidelberg: Springer, pp. 588–597, doi:10.1007/3-540-58484-6_301, ISBN 978-3-540-58484-1, retrieved 2022-10-18
Neri, Ferrante; Cotta, Carlos; Moscato, Pablo, eds. (2012). Handbook of Memetic Algorithms. Studies in Computational Intelligence. Vol. 379. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-23247-3. ISBN 978-3-642-23246-6.
Gorges-Schleuter, Martina (1998), Eiben, Agoston E.; Bäck, Thomas; Schoenauer, Marc; Schwefel, Hans-Paul (eds.), "A comparative study of global and local selection in evolution strategies", Parallel Problem Solving from Nature — PPSN V, Lecture Notes in Computer Science, vol. 1498, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 367–377, doi:10.1007/bfb0056879, ISBN 978-3-540-65078-2, retrieved 2022-10-21
Dorronsoro, Bernabe; Alba, Enrique (2008). Cellular Genetic Algorithms. Operations Research/Computer Science Interfaces Series. Vol. 42. Boston, MA: Springer US. doi:10.1007/978-0-387-77610-1. ISBN 978-0-387-77609-5.
Goldberg, David E. (1990), Schwefel, Hans-Paul; Männer, Reinhard (eds.), "The theory of virtual alphabets", Parallel Problem Solving from Nature, Lecture Notes in Computer Science, vol. 496, Berlin/Heidelberg: Springer-Verlag (published 1991), pp. 13–22, doi:10.1007/bfb0029726, ISBN 978-3-540-54148-6, retrieved 2022-10-22
Sanchez, Ernesto; Squillero, Giovanni; Tonda, Alberto (2012). Industrial Applications of Evolutionary Algorithms. Intelligent Systems Reference Library. Vol. 34. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-27467-1. ISBN 978-3-642-27466-4.
Mayer, David G. (2002). Evolutionary Algorithms and Agricultural Systems. Boston, MA: Springer US. doi:10.1007/978-1-4615-1717-7. ISBN 978-1-4613-5693-6.
Blume, Christian (2000), Cagnoni, Stefano (ed.), "Optimized Collision Free Robot Move Statement Generation by the Evolutionary Software GLEAM", Real-World Applications of Evolutionary Computing, LNCS 1803, vol. 1803, Berlin, Heidelberg: Springer, pp. 330–341, doi:10.1007/3-540-45561-2_32, ISBN 978-3-540-67353-8, retrieved 2022-12-28
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worldcat.org

Davis, Lawrence (1991). Handbook of genetic algorithms. New York: Van Nostrand Reinhold. ISBN 0-442-00173-8. OCLC 23081440.
Stender, J.; Hillebrand, E.; Kingdon, J. (1994). Genetic algorithms in optimisation, simulation, and modelling. Amsterdam: IOS Press. ISBN 90-5199-180-0. OCLC 47216370.
Michalewicz, Zbigniew (1996). Genetic Algorithms + Data Structures = Evolution Programs (3rd ed.). Berlin Heidelberg: Springer. ISBN 978-3-662-03315-9. OCLC 851375253.
Dahal, Keshav P.; Tan, Kay Chen; Cowling, Peter I. (2007). Evolutionary scheduling. Berlin: Springer. doi:10.1007/978-3-540-48584-1. ISBN 978-3-540-48584-1. OCLC 184984689.