Добірка наукової літератури з теми "Cartesian programming"
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Статті в журналах з теми "Cartesian programming"
Fang, Wei, and Mindan Gu. "FMCGP: frameshift mutation cartesian genetic programming." Complex & Intelligent Systems 7, no. 3 (January 12, 2021): 1195–206. http://dx.doi.org/10.1007/s40747-020-00241-5.
Повний текст джерелаIzzo, Dario, and Francesco Biscani. "dcgp: Differentiable Cartesian Genetic Programming made easy." Journal of Open Source Software 5, no. 51 (July 16, 2020): 2290. http://dx.doi.org/10.21105/joss.02290.
Повний текст джерелаMiller, Julian Francis. "Cartesian genetic programming: its status and future." Genetic Programming and Evolvable Machines 21, no. 1-2 (August 6, 2019): 129–68. http://dx.doi.org/10.1007/s10710-019-09360-6.
Повний текст джерелаKnezevic, Nikola, Branko Lukic, Kosta Jovanovic, Leon Zlajpah, and Tadej Petric. "End-effector Cartesian stiffness shaping - sequential least squares programming approach." Serbian Journal of Electrical Engineering 18, no. 1 (2021): 1–14. http://dx.doi.org/10.2298/sjee2101001k.
Повний текст джерелаYu, Zhangyi, and Sanyou Zeng. "Using Cartesian genetic programming to design wire antenna." International Journal of Computer Applications in Technology 43, no. 4 (2012): 372. http://dx.doi.org/10.1504/ijcat.2012.047163.
Повний текст джерелаYu, Zhangyi, Sanyou Zeng, Yan Guo, and Liguo Song. "Using Cartesian genetic programming to implement function modelling." International Journal of Innovative Computing and Applications 3, no. 4 (2011): 213. http://dx.doi.org/10.1504/ijica.2011.044530.
Повний текст джерелаDrahosova, Michaela, Lukas Sekanina, and Michal Wiglasz. "Adaptive Fitness Predictors in Coevolutionary Cartesian Genetic Programming." Evolutionary Computation 27, no. 3 (September 2019): 497–523. http://dx.doi.org/10.1162/evco_a_00229.
Повний текст джерелаMiller, J. F., and S. L. Smith. "Redundancy and computational efficiency in Cartesian genetic programming." IEEE Transactions on Evolutionary Computation 10, no. 2 (April 2006): 167–74. http://dx.doi.org/10.1109/tevc.2006.871253.
Повний текст джерелаMahsal Khan, Maryam, Arbab Masood Ahmad, Gul Muhammad Khan, and Julian F. Miller. "Fast learning neural networks using Cartesian genetic programming." Neurocomputing 121 (December 2013): 274–89. http://dx.doi.org/10.1016/j.neucom.2013.04.005.
Повний текст джерелаWalker, James Alfred, Katharina Völk, Stephen L. Smith, and Julian Francis Miller. "Parallel evolution using multi-chromosome cartesian genetic programming." Genetic Programming and Evolvable Machines 10, no. 4 (October 20, 2009): 417–45. http://dx.doi.org/10.1007/s10710-009-9093-2.
Повний текст джерелаДисертації з теми "Cartesian programming"
Turner, Andrew. "Evolving artificial neural networks using Cartesian genetic programming." Thesis, University of York, 2015. http://etheses.whiterose.ac.uk/12035/.
Повний текст джерелаWalker, 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.
Повний текст джерелаKečkéš, 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.
Повний текст джерелаCattani, 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.
Повний текст джерелаMinařík, 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.
Повний текст джерелаOliveira, 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.
Повний текст джерелаThe 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.
Повний текст джерелаKlemšová, Jarmila. "Modularita v evolučním návrhu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236989.
Повний текст джерелаVácha, 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.
Повний текст джерелаHusa, 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.
Повний текст джерелаКниги з теми "Cartesian programming"
service), SpringerLink (Online, ed. Cartesian Genetic Programming. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Знайти повний текст джерелаMiller, Julian F., ed. Cartesian Genetic Programming. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3.
Повний текст джерелаMiller, Julian F. Cartesian Genetic Programming. Springer, 2013.
Знайти повний текст джерелаMiller, Julian F. Cartesian Genetic Programming. Springer, 2011.
Знайти повний текст джерелаCenter, 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.
Знайти повний текст джерелаЧастини книг з теми "Cartesian programming"
Miller, Julian F. "Cartesian Genetic Programming." In Cartesian Genetic Programming, 17–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_2.
Повний текст джерелаMiller, Julian F., and Peter Thomson. "Cartesian Genetic Programming." In 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.
Повний текст джерелаDiPaola, Steve, and Nathan Sorenson. "CGP, Creativity and Art." In Cartesian Genetic Programming, 293–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_10.
Повний текст джерелаSekanina, Lukas, Simon L. Harding, Wolfgang Banzhaf, and Taras Kowaliw. "Image Processing and CGP." In Cartesian Genetic Programming, 181–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_6.
Повний текст джерелаHarding, Simon L., and Wolfgang Banzhaf. "Hardware Acceleration for CGP: Graphics Processing Units." In Cartesian Genetic Programming, 231–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_8.
Повний текст джерелаKhan, Gul Muhammad, and Julian F. Miller. "The CGP Developmental Network." In Cartesian Genetic Programming, 255–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_9.
Повний текст джерелаMiller, Julian F. "Introduction to Evolutionary Computation and Genetic Programming." In Cartesian Genetic Programming, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_1.
Повний текст джерелаSmith, Stephen L., James Alfred Walker, and Julian F. Miller. "Medical Applications of Cartesian Genetic Programming." In Cartesian Genetic Programming, 309–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_11.
Повний текст джерелаWalker, James Alfred, Julian F. Miller, Paul Kaufmann, and Marco Platzner. "Problem Decomposition in Cartesian Genetic Programming." In Cartesian Genetic Programming, 35–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_3.
Повний текст джерелаHarding, Simon L., Julian F. Miller, and Wolfgang Banzhaf. "Self-Modifying Cartesian Genetic Programming." In Cartesian Genetic Programming, 101–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17310-3_4.
Повний текст джерелаТези доповідей конференцій з теми "Cartesian programming"
Miller, Julian Francis, and Simon L. Harding. "Cartesian genetic programming." In the 2008 GECCO conference companion. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1388969.1389075.
Повний текст джерелаMiller, Julian Francis, and Simon L. Harding. "Cartesian genetic programming." In the 11th annual conference companion. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1570256.1570428.
Повний текст джерелаHara, Akira, Manabu Watanabe, and Tetsuyuki Takahama. "Cartesian Ant Programming." In 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2011. http://dx.doi.org/10.1109/icsmc.2011.6084146.
Повний текст джерелаMiller, Julian F., and Simon L. Harding. "Cartesian genetic programming." In the 12th annual conference comp. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830761.1830924.
Повний текст джерелаMiller, Julian, and Andrew Turner. "Cartesian Genetic Programming." In GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739482.2756571.
Повний текст джерелаPlaice, John, and Blanca Mancilla. "Cartesian Programming: The TransLucid Programming Language." In 2009 33rd Annual IEEE International Computer Software and Applications Conference. IEEE, 2009. http://dx.doi.org/10.1109/compsac.2009.139.
Повний текст джерелаHarding, Simon, Julian F. Miller, and Wolfgang Banzhaf. "Self modifying cartesian genetic programming." In the 12th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830483.1830591.
Повний текст джерелаHarding, Simon L., Julian F. Miller, and Wolfgang Banzhaf. "Self-modifying cartesian genetic programming." In the 9th annual conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1276958.1277161.
Повний текст джерелаHarter, Adam, Daniel R. Tauritz, and William M. Siever. "Asynchronous parallel cartesian genetic programming." In GECCO '17: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3067695.3084210.
Повний текст джерелаHrbacek, Radek, and Michaela Sikulova. "Coevolutionary Cartesian Genetic Programming in FPGA." In European Conference on Artificial Life 2013. MIT Press, 2013. http://dx.doi.org/10.7551/978-0-262-31709-2-ch062.
Повний текст джерела