Genetski algoritam (Serbian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Genetski algoritam" in Serbian language version.

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6doi.org

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3archive.org

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3semanticscholar.org

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2harvard.edu

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2springer.com

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2ieee.org

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2web.archive.org

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1growingscience.com

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1umsl.edu

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1cmu.edu

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1thisurlisfalse.com

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1complex-systems.com

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1acm.org

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1mdpi.com

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1ted.com

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1nasa.gov

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1goatstream.com

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1nytimes.com

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1futuresmag.com

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1palisade.com

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1gene-expression-programming.com

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1mit.edu

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1irisa.fr

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acm.org

portal.acm.org

G. Harik. Learning linkage to efficiently solve problems of bounded difficulty using genetic algorithms. PhD thesis, Dept. Computer Science, University of Michigan, Ann Arbour, 1997

archive.org

Mitchell, Melanie (1996). An Introduction to Genetic Algorithms. Cambridge: MA: MIT Press. стр. 2. ISBN 9780585030944.
Goldberg, David (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Reading: MA: Addison-Wesley Professional. стр. 41. ISBN 978-0201157673.
Skiena, Steven (2010). The Algorithm Design Manual (2nd изд.). Springer Science+Business Media. ISBN 978-1-84996-720-4.

cmu.edu

ri.cmu.edu

Baluja, Shumeet; Caruana, Rich (1995). Removing the genetics from the standard genetic algorithm (PDF). ICML.

complex-systems.com

D.E. Goldberg, B. Korb, and K. Deb (октобар 1989). „Messy genetic algorithms: Motivation, analysis, and first results”. Complex Systems. 5 (3): 493—530.

doi.org

Taherdangkoo, Mohammad; Paziresh, Mahsa; Yazdi, Mehran; Bagheri, Mohammad (2013). „An efficient algorithm for function optimization: Modified stem cells algorithm”. Open Engineering. 3 (1): 36—50. Bibcode:2013CEJE....3...36T. S2CID 108711765. doi:10.2478/s13531-012-0047-8. .
Goldberg, David E. (1991). „The theory of virtual alphabets”. Parallel Problem Solving from Nature. Parallel Problem Solving from Nature, Lecture Notes in Computer Science. Lecture Notes in Computer Science. 496. стр. 13—22. ISBN 3-540-54148-9. doi:10.1007/BFb0029726. Приступљено 2. 7. 2013.
Patrascu, M.; Stancu, A.F.; Pop, F. (2014). „HELGA: a heterogeneous encoding lifelike genetic algorithm for population evolution modeling and simulation”. Soft Computing. 18 (12): 2565—2576. S2CID 254036442. doi:10.1007/s00500-014-1401-y.
Tomoiagă, Bogdan; Chindriş, Mircea; Sumper, Andreas; Sudria-Andreu, Antoni; Villafafila-Robles, Roberto (2013). „Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II”. Energies. 6 (3): 1439—1455. doi:10.3390/en6031439 . .
Baudry, Benoit; Fleurey, Franck; Jean-Marc Jézéquel; Yves Le Traon (2005). „Automatic Test Case Optimization: A Bacteriologic Algorithm” (PDF). IEEE Software. IEEE Computer Society. 22 (2): 76—82. S2CID 3559602. doi:10.1109/MS.2005.30. Приступљено 9. 8. 2009.
Civicioglu, P. (2012). „Transforming Geocentric Cartesian Coordinates to Geodetic Coordinates by Using Differential Search Algorithm”. Computers &Geosciences. 46: 229—247. Bibcode:2012CG.....46..229C. doi:10.1016/j.cageo.2011.12.011.

futuresmag.com

Ruggiero, Murray A.. (2009-08-01) Fifteen years and counting Архивирано на веб-сајту Wayback Machine (30. јануар 2016). Futuresmag.com. Приступљено 2013-08-07.

gene-expression-programming.com

Ferreira, C. „Gene Expression Programming: A New Adaptive Algorithm for Solving Problems” (PDF). Complex Systems, 13 (2): 87—129.

goatstream.com

Flexible Muscle-Based Locomotion for Bipedal Creatures

growingscience.com

Akbari, Ziarati (2010). "A multilevel evolutionary algorithm for optimizing numerical functions" IJIEC 2 (2011): 419-430 [1]

harvard.edu

adsabs.harvard.edu

Taherdangkoo, Mohammad; Paziresh, Mahsa; Yazdi, Mehran; Bagheri, Mohammad (2013). „An efficient algorithm for function optimization: Modified stem cells algorithm”. Open Engineering. 3 (1): 36—50. Bibcode:2013CEJE....3...36T. S2CID 108711765. doi:10.2478/s13531-012-0047-8. .
Civicioglu, P. (2012). „Transforming Geocentric Cartesian Coordinates to Geodetic Coordinates by Using Differential Search Algorithm”. Computers &Geosciences. 46: 229—247. Bibcode:2012CG.....46..229C. doi:10.1016/j.cageo.2011.12.011.

ieee.org

ieeexplore.ieee.org

irisa.fr

Baudry, Benoit; Fleurey, Franck; Jean-Marc Jézéquel; Yves Le Traon (2005). „Automatic Test Case Optimization: A Bacteriologic Algorithm” (PDF). IEEE Software. IEEE Computer Society. 22 (2): 76—82. S2CID 3559602. doi:10.1109/MS.2005.30. Приступљено 9. 8. 2009.

mdpi.com

Tomoiagă, Bogdan; Chindriş, Mircea; Sumper, Andreas; Sudria-Andreu, Antoni; Villafafila-Robles, Roberto (2013). „Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II”. Energies. 6 (3): 1439—1455. doi:10.3390/en6031439 . .

mit.edu

Rania Hassan, Babak Cohanim, Olivier de Weck, Gerhard Vente r (2005) A comparison of particle swarm optimization and the genetic algorithm

nasa.gov

ti.arc.nasa.gov

Hornby, G. S.; Linden, D. S.; Lohn, J. D., Automated Antenna Design with Evolutionary Algorithms (PDF)

nytimes.com

Markoff, John (29. 8. 1990). „What's the Best Answer? It's Survival of the Fittest”. New York Times. Приступљено 9. 8. 2009. Проверите вредност парамет(а)ра за датум: |year= / |date= mismatch (помоћ)

palisade.com

Evolver: Sophisticated Optimization for Spreadsheets. Palisade. Приступљено 2013-08-07.

semanticscholar.org

api.semanticscholar.org

Taherdangkoo, Mohammad; Paziresh, Mahsa; Yazdi, Mehran; Bagheri, Mohammad (2013). „An efficient algorithm for function optimization: Modified stem cells algorithm”. Open Engineering. 3 (1): 36—50. Bibcode:2013CEJE....3...36T. S2CID 108711765. doi:10.2478/s13531-012-0047-8. .
Patrascu, M.; Stancu, A.F.; Pop, F. (2014). „HELGA: a heterogeneous encoding lifelike genetic algorithm for population evolution modeling and simulation”. Soft Computing. 18 (12): 2565—2576. S2CID 254036442. doi:10.1007/s00500-014-1401-y.
Baudry, Benoit; Fleurey, Franck; Jean-Marc Jézéquel; Yves Le Traon (2005). „Automatic Test Case Optimization: A Bacteriologic Algorithm” (PDF). IEEE Software. IEEE Computer Society. 22 (2): 76—82. S2CID 3559602. doi:10.1109/MS.2005.30. Приступљено 9. 8. 2009.

springer.com

link.springer.com

Goldberg, David E. (1991). „The theory of virtual alphabets”. Parallel Problem Solving from Nature. Parallel Problem Solving from Nature, Lecture Notes in Computer Science. Lecture Notes in Computer Science. 496. стр. 13—22. ISBN 3-540-54148-9. doi:10.1007/BFb0029726. Приступљено 2. 7. 2013.
Patrascu, M.; Stancu, A.F.; Pop, F. (2014). „HELGA: a heterogeneous encoding lifelike genetic algorithm for population evolution modeling and simulation”. Soft Computing. 18 (12): 2565—2576. S2CID 254036442. doi:10.1007/s00500-014-1401-y.

ted.com

Gross, Bill. „A solar energy system that tracks the sun”. TED. Приступљено 20. 11. 2013.

thisurlisfalse.com

„Evolution-in-a-nutshell”. Архивирано из оригинала 15. 4. 2016. г. Приступљено 19. 5. 2016.

umsl.edu

cs.umsl.edu

Janikow, C. Z.; Michalewicz, Z. (1991). „An Experimental Comparison of Binary and Floating Point Representations in Genetic Algorithms” (PDF). Proceedings of the Fourth International Conference on Genetic Algorithms: 31—36. Приступљено 2. 7. 2013.

web.archive.org

„Evolution-in-a-nutshell”. Архивирано из оригинала 15. 4. 2016. г. Приступљено 19. 5. 2016.
Ruggiero, Murray A.. (2009-08-01) Fifteen years and counting Архивирано на веб-сајту Wayback Machine (30. јануар 2016). Futuresmag.com. Приступљено 2013-08-07.