Literatura académica sobre el tema "Cartesian programming"
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Artículos de revistas sobre el tema "Cartesian programming"
Fang, Wei y Mindan Gu. "FMCGP: frameshift mutation cartesian genetic programming". Complex & Intelligent Systems 7, n.º 3 (12 de enero de 2021): 1195–206. http://dx.doi.org/10.1007/s40747-020-00241-5.
Texto completoIzzo, Dario y Francesco Biscani. "dcgp: Differentiable Cartesian Genetic Programming made easy." Journal of Open Source Software 5, n.º 51 (16 de julio de 2020): 2290. http://dx.doi.org/10.21105/joss.02290.
Texto completoMiller, Julian Francis. "Cartesian genetic programming: its status and future". Genetic Programming and Evolvable Machines 21, n.º 1-2 (6 de agosto de 2019): 129–68. http://dx.doi.org/10.1007/s10710-019-09360-6.
Texto completoKnezevic, Nikola, Branko Lukic, Kosta Jovanovic, Leon Zlajpah y Tadej Petric. "End-effector Cartesian stiffness shaping - sequential least squares programming approach". Serbian Journal of Electrical Engineering 18, n.º 1 (2021): 1–14. http://dx.doi.org/10.2298/sjee2101001k.
Texto completoYu, Zhangyi y Sanyou Zeng. "Using Cartesian genetic programming to design wire antenna". International Journal of Computer Applications in Technology 43, n.º 4 (2012): 372. http://dx.doi.org/10.1504/ijcat.2012.047163.
Texto completoYu, Zhangyi, Sanyou Zeng, Yan Guo y Liguo Song. "Using Cartesian genetic programming to implement function modelling". International Journal of Innovative Computing and Applications 3, n.º 4 (2011): 213. http://dx.doi.org/10.1504/ijica.2011.044530.
Texto completoDrahosova, Michaela, Lukas Sekanina y Michal Wiglasz. "Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming". Evolutionary Computation 27, n.º 3 (septiembre de 2019): 497–523. http://dx.doi.org/10.1162/evco_a_00229.
Texto completoMiller, J. F. y S. L. Smith. "Redundancy and computational efficiency in Cartesian genetic programming". IEEE Transactions on Evolutionary Computation 10, n.º 2 (abril de 2006): 167–74. http://dx.doi.org/10.1109/tevc.2006.871253.
Texto completoMahsal Khan, Maryam, Arbab Masood Ahmad, Gul Muhammad Khan y Julian F. Miller. "Fast learning neural networks using Cartesian genetic programming". Neurocomputing 121 (diciembre de 2013): 274–89. http://dx.doi.org/10.1016/j.neucom.2013.04.005.
Texto completoWalker, James Alfred, Katharina Völk, Stephen L. Smith y Julian Francis Miller. "Parallel evolution using multi-chromosome cartesian genetic programming". Genetic Programming and Evolvable Machines 10, n.º 4 (20 de octubre de 2009): 417–45. http://dx.doi.org/10.1007/s10710-009-9093-2.
Texto completoTesis sobre el tema "Cartesian programming"
Turner, Andrew. "Evolving artificial neural networks using Cartesian genetic programming". Thesis, University of York, 2015. http://etheses.whiterose.ac.uk/12035/.
Texto completoWalker, James Alfred. "The automatic acquisition, evolution and re-use of modules in cartesian genetic programming". Thesis, University of York, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444766.
Texto completoKečkéš, Miroslav. "Automatizovaný návrh obrazových filtrů na základě kartézského genetického programování". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219455.
Texto completoCattani, Philip Thomas. "Extending Cartesian genetic programming : multi-expression genomes and applications in image processing and classification". Thesis, University of Kent, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655651.
Texto completoMinařík, Miloš. "Sebemodifikující se programy v kartézském genetickém programování". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237114.
Texto completoOliveira, Marcelo Frasson de. "Projeto de um robô cartesiano com acionamento pneumático". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/13444.
Texto completoThe great majority of industrial robots available in the market have high performance, especially relative to position accuracy. This aspect is one of the factors that most influence its final price, taking into account all complicated web elements that makes the robot operates in the correct form, since the actuators and the constructive part, passing by the architecture and control systems until the system of programming. According to these, the present work aims to project an industrial robot with more accessible costs, adequate to use in industrial process that not require high level of accuracy. For the reduction of manufacture and components costs of the robot, this work make viable to use of pneumatic actuators like a motive source, because are relatively cheap, light, not pollutants, easy assembly and operation, besides presenting a good relation weight/power. For such purpose, the strategy of control was implemented by sliding mode control for the objective to surpass the difficulties imposed by the non-linear behavior of the pneumatic components. About the reduction of programming and operation costs of the robot, an off-line programming environment was developed through manufacturing aided software and a software of engineering both usually found in industrial environments. The basic strategy in this work, was the development of an own methodology of project, conceived specifically for the application in projects of industrial robots, with the attributes of easiness of execution and modularization of the wrapped phases. That methodology, in the present work, presents the development of a Cartesian robot with three degrees of freedom actuated by pneumatic servo drive.
Vaňák, Tomáš. "Využití regresních metod pro predikci dopravy". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236096.
Texto completoKlemšová, Jarmila. "Modularita v evolučním návrhu". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236989.
Texto completoVácha, Petr. "Křížení v kartézském genetickém programování". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-235481.
Texto completoHusa, Jakub. "Genetické vylepšení software pro kartézské genetické programování". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255458.
Texto completoLibros sobre el tema "Cartesian programming"
service), SpringerLink (Online, ed. Cartesian Genetic Programming. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Buscar texto completoMiller, Julian F., ed. Cartesian Genetic Programming. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3.
Texto completoMiller, Julian F. Cartesian Genetic Programming. Springer, 2013.
Buscar texto completoMiller, Julian F. Cartesian Genetic Programming. Springer, 2011.
Buscar texto completoCenter, NASA Glenn Research, ed. An automated code generator for three-dimensional acoustic wave propagation with geometrically complex solid wall boundaries. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.
Buscar texto completoCapítulos de libros sobre el tema "Cartesian programming"
Miller, Julian F. "Cartesian Genetic Programming". En Cartesian Genetic Programming, 17–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_2.
Texto completoMiller, Julian F. y Peter Thomson. "Cartesian Genetic Programming". En Lecture Notes in Computer Science, 121–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-46239-2_9.
Texto completoDiPaola, Steve y Nathan Sorenson. "CGP, Creativity and Art". En Cartesian Genetic Programming, 293–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_10.
Texto completoSekanina, Lukas, Simon L. Harding, Wolfgang Banzhaf y Taras Kowaliw. "Image Processing and CGP". En Cartesian Genetic Programming, 181–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_6.
Texto completoHarding, Simon L. y Wolfgang Banzhaf. "Hardware Acceleration for CGP: Graphics Processing Units". En Cartesian Genetic Programming, 231–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_8.
Texto completoKhan, Gul Muhammad y Julian F. Miller. "The CGP Developmental Network". En Cartesian Genetic Programming, 255–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_9.
Texto completoMiller, Julian F. "Introduction to Evolutionary Computation and Genetic Programming". En Cartesian Genetic Programming, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_1.
Texto completoSmith, Stephen L., James Alfred Walker y Julian F. Miller. "Medical Applications of Cartesian Genetic Programming". En Cartesian Genetic Programming, 309–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_11.
Texto completoWalker, James Alfred, Julian F. Miller, Paul Kaufmann y Marco Platzner. "Problem Decomposition in Cartesian Genetic Programming". En Cartesian Genetic Programming, 35–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_3.
Texto completoHarding, Simon L., Julian F. Miller y Wolfgang Banzhaf. "Self-Modifying Cartesian Genetic Programming". En Cartesian Genetic Programming, 101–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_4.
Texto completoActas de conferencias sobre el tema "Cartesian programming"
Miller, Julian Francis y Simon L. Harding. "Cartesian genetic programming". En the 2008 GECCO conference companion. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1388969.1389075.
Texto completoMiller, Julian Francis y Simon L. Harding. "Cartesian genetic programming". En the 11th annual conference companion. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1570256.1570428.
Texto completoHara, Akira, Manabu Watanabe y Tetsuyuki Takahama. "Cartesian Ant Programming". En 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2011. http://dx.doi.org/10.1109/icsmc.2011.6084146.
Texto completoMiller, Julian F. y Simon L. Harding. "Cartesian genetic programming". En the 12th annual conference comp. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830761.1830924.
Texto completoMiller, Julian y Andrew Turner. "Cartesian Genetic Programming". En GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739482.2756571.
Texto completoPlaice, John y Blanca Mancilla. "Cartesian Programming: The TransLucid Programming Language". En 2009 33rd Annual IEEE International Computer Software and Applications Conference. IEEE, 2009. http://dx.doi.org/10.1109/compsac.2009.139.
Texto completoHarding, Simon, Julian F. Miller y Wolfgang Banzhaf. "Self modifying cartesian genetic programming". En the 12th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830483.1830591.
Texto completoHarding, Simon L., Julian F. Miller y Wolfgang Banzhaf. "Self-modifying cartesian genetic programming". En the 9th annual conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1276958.1277161.
Texto completoHarter, Adam, Daniel R. Tauritz y William M. Siever. "Asynchronous parallel cartesian genetic programming". En GECCO '17: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3067695.3084210.
Texto completoHrbacek, Radek y Michaela Sikulova. "Coevolutionary Cartesian Genetic Programming in FPGA". En European Conference on Artificial Life 2013. MIT Press, 2013. http://dx.doi.org/10.7551/978-0-262-31709-2-ch062.
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