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Artykuły w czasopismach na temat "Genetic algorithms – Statistical methods"
Dharani Pragada, Venkata Aditya, Akanistha Banerjee i Srinivasan Venkataraman. "OPTIMISATION OF NAVAL SHIP COMPARTMENT LAYOUT DESIGN USING GENETIC ALGORITHM". Proceedings of the Design Society 1 (27.07.2021): 2339–48. http://dx.doi.org/10.1017/pds.2021.495.
Pełny tekst źródłaSalimi, Amir Hossein, Jafar Masoompour Samakosh, Ehsan Sharifi, Mohammad Reza Hassanvand, Amir Noori i Hary von Rautenkranz. "Optimized Artificial Neural Networks-Based Methods for Statistical Downscaling of Gridded Precipitation Data". Water 11, nr 8 (10.08.2019): 1653. http://dx.doi.org/10.3390/w11081653.
Pełny tekst źródłaHatjimihail, A. T. "Genetic algorithms-based design and optimization of statistical quality-control procedures". Clinical Chemistry 39, nr 9 (1.09.1993): 1972–78. http://dx.doi.org/10.1093/clinchem/39.9.1972.
Pełny tekst źródłaCotfas, Daniel T., Petru A. Cotfas, Mihai P. Oproiu i Paul A. Ostafe. "Analytical versus Metaheuristic Methods to Extract the Photovoltaic Cells and Panel Parameters". International Journal of Photoenergy 2021 (17.09.2021): 1–17. http://dx.doi.org/10.1155/2021/3608138.
Pełny tekst źródłaTucker, Allan, Jason Crampton i Stephen Swift. "RGFGA: An Efficient Representation and Crossover for Grouping Genetic Algorithms". Evolutionary Computation 13, nr 4 (grudzień 2005): 477–99. http://dx.doi.org/10.1162/106365605774666903.
Pełny tekst źródłaTarnaris, Konstantinos, Ioanna Preka, Dionisis Kandris i Alex Alexandridis. "Coverage and k-Coverage Optimization in Wireless Sensor Networks Using Computational Intelligence Methods: A Comparative Study". Electronics 9, nr 4 (21.04.2020): 675. http://dx.doi.org/10.3390/electronics9040675.
Pełny tekst źródłaHuang, Chien-Feng, Chi-Jen Hsu, Chi-Chung Chen, Bao Rong Chang i Chen-An Li. "An Intelligent Model for Pairs Trading Using Genetic Algorithms". Computational Intelligence and Neuroscience 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/939606.
Pełny tekst źródłaAizawa, Akiko N., i Benjamin W. Wah. "Scheduling of Genetic Algorithms in a Noisy Environment". Evolutionary Computation 2, nr 2 (czerwiec 1994): 97–122. http://dx.doi.org/10.1162/evco.1994.2.2.97.
Pełny tekst źródłaKang, Jae Youn, Byung Ik Choi, Hak Joo Lee, Sang Rok Lee, Joo Sung Kim i Kee Joo Kim. "Genetic Algorithm Application in Multiaxial Fatigue Criteria Computation". International Journal of Modern Physics B 17, nr 08n09 (10.04.2003): 1678–83. http://dx.doi.org/10.1142/s0217979203019502.
Pełny tekst źródłaMarcek, Dusan. "Some statistical and CI models to predict chaotic high-frequency financial data". Journal of Intelligent & Fuzzy Systems 39, nr 5 (19.11.2020): 6419–30. http://dx.doi.org/10.3233/jifs-189107.
Pełny tekst źródłaRozprawy doktorskie na temat "Genetic algorithms – Statistical methods"
Czarn, Andrew Simon Timothy. "Statistical exploratory analysis of genetic algorithms". University of Western Australia. School of Computer Science and Software Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0030.
Pełny tekst źródłaShen, Rujun, i 沈汝君. "Mining optimal technical trading rules with genetic algorithms". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47870011.
Pełny tekst źródłapublished_or_final_version
Statistics and Actuarial Science
Master
Master of Philosophy
Barreau, Thibaud. "Strategic optimization of a global bank capital management using statistical methods on open data". Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273413.
Pełny tekst źródłaProjektets ämne handlar om att optimering allokering av kapital inom en fransk global bank. Kapital management syftar här på hur kapital ska fördelas mellan olika avdelningar inom banken. I detta projekt fokuserar jag på optimering av allokeringen av riskvägda resurser (RWA) mellan några av bankens enheter, som en representation av det allokerade kapitalet. Uppsatsen inriktar sig främst emot retail-delen av banken. Första steget var att modellera utvecklingen av en bankavdelning givet en ekonomisk omgivning? Andra steget var att försöka optimera fördelningen av RWA mellan de utvalda bankavdelningarna.
Larsen, Ross Allen Andrew. "Food Shelf Life: Estimation and Experimental Design". Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1315.pdf.
Pełny tekst źródłaHerrington, Hira B. "A Heuristic Evolutionary Method for the Complementary Cell Suppression Problem". NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/28.
Pełny tekst źródłaZHANG, GE. "STATISTICAL METHODS IN GENETIC ASSOCIATION". University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196099744.
Pełny tekst źródłaValenzuela-Del, Rio Jose Eugenio. "Bayesian adaptive sampling for discrete design alternatives in conceptual design". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50263.
Pełny tekst źródłaRogers, Alex. "Modelling genetic algorithms and evolving populations". Thesis, University of Southampton, 2000. https://eprints.soton.ac.uk/261289/.
Pełny tekst źródłaShar, Nisar Ahmed. "Statistical methods for predicting genetic regulation". Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16729/.
Pełny tekst źródłaPittman, Jennifer L. "Adaptive splines and genetic algorithms for optimal statistical modeling". Adobe Acrobat reader required to view the full dissertation, 2000. http://www.etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-23/index.html.
Pełny tekst źródłaKsiążki na temat "Genetic algorithms – Statistical methods"
Mitchell, Melanie. An introduction to genetic algorithms. Cambridge, Mass: MIT Press, 1996.
Znajdź pełny tekst źródłaBayesian phylogenetics: Methods, algorithms, and applications. Boca Raton: CRC Press/Taylor & Francis, 2014.
Znajdź pełny tekst źródłaLange, Kenneth. Mathematical and statistical methods for genetic analysis. Wyd. 2. New York: Springer, 2002.
Znajdź pełny tekst źródłaLange, Kenneth. Mathematical and Statistical Methods for Genetic Analysis. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21750-5.
Pełny tekst źródłaLange, Kenneth. Mathematical and Statistical Methods for Genetic Analysis. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2739-5.
Pełny tekst źródłaLange, Kenneth. Mathematical and statistical methods for genetic analysis. New York: Springer, 1997.
Znajdź pełny tekst źródłaRattray, Lars Magnus. Modelling the dynamics of genetic algorithms using statistical mechanics. Manchester: University of Manchester, 1997.
Znajdź pełny tekst źródłaWeir, B. S. Genetic data analysis: Methods for discrete population genetic data. Sunderland, Mass: Sinauer Associates, 1990.
Znajdź pełny tekst źródłaWeir, B. S. Genetic data analysis II: Methods for discrete population genetic data. Sunderland, Mass: Sinauer Associates, 1996.
Znajdź pełny tekst źródłaBarone, Piero, Arnoldo Frigessi i Mauro Piccioni, red. Stochastic Models, Statistical Methods, and Algorithms in Image Analysis. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2920-9.
Pełny tekst źródłaCzęści książek na temat "Genetic algorithms – Statistical methods"
Lange, Kenneth. "Counting Methods and the EM Algorithm". W Mathematical and Statistical Methods for Genetic Analysis, 19–34. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2739-5_2.
Pełny tekst źródłaLange, Kenneth. "Counting Methods and the EM Algorithm". W Mathematical and Statistical Methods for Genetic Analysis, 21–38. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21750-5_2.
Pełny tekst źródłaChen, Yingrui, Mark Elliot i Duncan Smith. "The Application of Genetic Algorithms to Data Synthesis: A Comparison of Three Crossover Methods". W Privacy in Statistical Databases, 160–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99771-1_11.
Pełny tekst źródłaBattaglia, Francesco, Domenico Cucina i Manuel Rizzo. "Periodic Autoregressive Models with Multiple Structural Changes by Genetic Algorithms". W Mathematical and Statistical Methods for Actuarial Sciences and Finance, 107–10. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89824-7_19.
Pełny tekst źródłaKuri-Morales, Angel Fernando, i Jesús Gutiérrez-García. "Penalty Function Methods for Constrained Optimization with Genetic Algorithms: A Statistical Analysis". W MICAI 2002: Advances in Artificial Intelligence, 108–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46016-0_12.
Pełny tekst źródłaCorazza, Marco, Giovanni Fasano i Riccardo Gusso. "Portfolio selection with an alternative measure of risk: Computational performances of particle swarm optimization and genetic algorithms". W Mathematical and Statistical Methods for Actuarial Sciences and Finance, 123–30. Milano: Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2342-0_15.
Pełny tekst źródłaOssowski, Andrzej, i Anna Święcicka. "Statistical Genetic Algorithms". W Advances in Intelligent and Soft Computing, 143–54. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1813-0_13.
Pełny tekst źródłaElston, Robert C., Jaya Satagopan i Shuying Sun. "Statistical Genetic Terminology". W Methods in Molecular Biology, 1–9. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7274-6_1.
Pełny tekst źródłaJeffers, John N. R. "Genetic Algorithms I". W Machine Learning Methods for Ecological Applications, 107–21. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5289-5_4.
Pełny tekst źródłaStockwell, David R. B. "Genetic Algorithms II". W Machine Learning Methods for Ecological Applications, 123–44. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5289-5_5.
Pełny tekst źródłaStreszczenia konferencji na temat "Genetic algorithms – Statistical methods"
Reeves, C. R. "Genetic algorithms and statistical methods: a comparison". W 1st International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). IEE, 1995. http://dx.doi.org/10.1049/cp:19951038.
Pełny tekst źródłaCarata, Serban-Vasile, Veta Ghenescu, Marian Ghenescu, Mihai Chindea i Roxana Mihaescu. "Salt and Pepper Noise Removal by Combining Genetic Algorithms - Neural Networks and Statistical Methods". W 2018 12th International Conference on Communications (COMM). IEEE, 2018. http://dx.doi.org/10.1109/iccomm.2018.8430175.
Pełny tekst źródłaCarata, Serban-Vasile, Veta Ghenescu, Marian Ghenescu, Mihai Chindea i Roxana Mihaescu. "Salt and Pepper Noise Removal by Combining Genetic Algorithms - Neural Networks and Statistical Methods". W 2018 12th International Conference on Communications (COMM). IEEE, 2018. http://dx.doi.org/10.1109/iccomm.2018.8484807.
Pełny tekst źródłaZeliff, Kayla, Walter Bennette i Scott Ferguson. "Multi-Objective Composite Panel Optimization Using Machine Learning Classifiers and Genetic Algorithms". W ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60125.
Pełny tekst źródłaNaranjo-Pérez, Javier, Andrés Sáez, Javier F. Jiménez-Alonso, Pablo Pachón i Víctor Compán. "A Hybrid UKF-MAG Algorithm for Finite Element Model Updating of Historical Constructions". W IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0029.
Pełny tekst źródłaSerghiuta, Dumitru, John Tholammakkil, Naj Hammouda i Anthony O’Hagan. "Testing of Statistical Procedures for Use in Optimization of Reactor Performance Under Aged Conditions". W 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-31054.
Pełny tekst źródłaBordoloi, D. J., i Rajiv Tiwari. "Health Monitoring of Gear Elements Based on Time-Frequency Vibration by Support Vector Machine Algorithms". W ASME 2013 Gas Turbine India Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gtindia2013-3772.
Pełny tekst źródłaMarri, Kiran, i Ramakrishnan Swaminathan. "Classification of Muscular Nonfatigue and Fatigue Conditions Using Surface EMG Signals and Fractal Algorithms". W ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9828.
Pełny tekst źródłaAli, Muhammad Ansab, Tariq S. Khan, Saqib Salam i Ebrahim Al Hajri. "Shape Optimization of Microchannels Using Surrogate Modelling". W ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87780.
Pełny tekst źródłaIsmail, Zuhaimy, Mohd Zulariffin Md Maarof i Mohammad Fadzli. "Alteration of Box-Jenkins methodology by implementing genetic algorithm method". W THE 2ND ISM INTERNATIONAL STATISTICAL CONFERENCE 2014 (ISM-II): Empowering the Applications of Statistical and Mathematical Sciences. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4907522.
Pełny tekst źródłaRaporty organizacyjne na temat "Genetic algorithms – Statistical methods"
Gurdal, Zafer, Raphael T. Haftka i Layne T. Watson. Wing Structural Design by Genetic Algorithms and Homotopy Methods. Fort Belvoir, VA: Defense Technical Information Center, marzec 1999. http://dx.doi.org/10.21236/ada387245.
Pełny tekst źródłaOtt, Jurg. Statistical Genetic Methods for Localizing Multiple Breast Cancer Genes. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1995. http://dx.doi.org/10.21236/ada301699.
Pełny tekst źródłaBazarov, Ivan, Matthew Andorf, William Bergan, Cameron Duncan, Vardan Khachatryan, Danilo Liarte, David Rubin i James Sethna. Innovations in optimization and control of accelerators using methods of differential geometry and genetic algorithms. Office of Scientific and Technical Information (OSTI), czerwiec 2019. http://dx.doi.org/10.2172/1530158.
Pełny tekst źródłaHutchinson, M. L., J. E. L. Corry i R. H. Madden. A review of the impact of food processing on antimicrobial-resistant bacteria in secondary processed meats and meat products. Food Standards Agency, październik 2020. http://dx.doi.org/10.46756/sci.fsa.bxn990.
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