Gotowa bibliografia na temat „Evolutionary programming (computer science)”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Spis treści
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Evolutionary programming (computer science)”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "Evolutionary programming (computer science)"
Vitányi, Paul. "A discipline of evolutionary programming". Theoretical Computer Science 241, nr 1-2 (czerwiec 2000): 3–23. http://dx.doi.org/10.1016/s0304-3975(99)00263-7.
Pełny tekst źródłaDoerr, Benjamin, Anton Eremeev, Frank Neumann, Madeleine Theile i Christian Thyssen. "Evolutionary algorithms and dynamic programming". Theoretical Computer Science 412, nr 43 (październik 2011): 6020–35. http://dx.doi.org/10.1016/j.tcs.2011.07.024.
Pełny tekst źródłaDU, Haifeng. "Adaptive chaos clonal evolutionary programming algorithm". Science in China Series F 48, nr 5 (2005): 579. http://dx.doi.org/10.1360/04yf0458.
Pełny tekst źródłaJi, Mingjun, Huanwen Tang i Juan Guo. "A single-point mutation evolutionary programming". Information Processing Letters 90, nr 6 (czerwiec 2004): 293–99. http://dx.doi.org/10.1016/j.ipl.2004.03.002.
Pełny tekst źródłaEnglish, T. M. "Evolutionary Programming VI[Book Reviews]". IEEE Transactions on Evolutionary Computation 1, nr 3 (wrzesień 1997): 218–19. http://dx.doi.org/10.1109/tevc.1997.661555.
Pełny tekst źródłaKushchu, I. "Genetic programming and evolutionary generalization". IEEE Transactions on Evolutionary Computation 6, nr 5 (październik 2002): 431–42. http://dx.doi.org/10.1109/tevc.2002.805038.
Pełny tekst źródłaNölting, Bengt, Dennis Jülich, Winfried Vonau i Karl Andert. "Evolutionary Computer Programming of Protein Folding and Structure Predictions". Journal of Theoretical Biology 229, nr 1 (lipiec 2004): 13–18. http://dx.doi.org/10.1016/j.jtbi.2004.02.016.
Pełny tekst źródłaJong-Hwan Kim i Kwang-Choon Kim. "Multicriteria fuzzy control using evolutionary programming". Information Sciences 103, nr 1-4 (grudzień 1997): 71–86. http://dx.doi.org/10.1016/s0020-0255(97)00050-9.
Pełny tekst źródłaMallipeddi, R., S. Mallipeddi i P. N. Suganthan. "Ensemble strategies with adaptive evolutionary programming". Information Sciences 180, nr 9 (maj 2010): 1571–81. http://dx.doi.org/10.1016/j.ins.2010.01.007.
Pełny tekst źródłaFarach, Martin, i Mikkel Thorup. "Sparse Dynamic Programming for Evolutionary-Tree Comparison". SIAM Journal on Computing 26, nr 1 (luty 1997): 210–30. http://dx.doi.org/10.1137/s0097539794262422.
Pełny tekst źródłaRozprawy doktorskie na temat "Evolutionary programming (computer science)"
Tati, Kiran Kumar Smilkstein Tina Harriet. "General purpose evolutionary algorithm testbed". Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/5359.
Pełny tekst źródłaJob, Dominic Edward. "Case-based reasoning and evolutionary computation techniques for FPGA programming". Thesis, Edinburgh Napier University, 2001. http://researchrepository.napier.ac.uk/Output/4272.
Pełny tekst źródłaDavis, Edward V. "Software testing for evolutionary iterative rapid prototyping". Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA232555.
Pełny tekst źródłaThesis Advisor(s): Shimeall, Timothy J. Second Reader: Barnes, Patrick D. "December 1990." Description based on title screen as viewed on March 29, 2010. DTIC Identifier(s): Computer Program Verification, Prototypes, Software Engineering, User Manuals. Author(s) subject terms: Software Testing, Software Prototyping, Rapid Prototyping, Reusable Components, Requirements-based Testing, Software Testing Tools. Includes bibliographical references (p. 276-281). Also available in print.
Heinze, Glenn. "Application of evolutionary algorithm strategies to entity relationship diagrams /". View PDF document on the Internet, 2004. http://library.athabascau.ca/scisthesis/Heinze.pdf.
Pełny tekst źródłaSchwartz, Bonnie Jo. "An Evolutionary Programming Algorithm for Automatic Chromatogram Alignment". Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1175715183.
Pełny tekst źródłaWilkerson, Joshua Lee. "Co-evolutionary automated software correction: a proof of concept". Diss., Rolla, Mo. : Missouri University of Science and Technology, 2008. http://scholarsmine.mst.edu/thesis/pdf/Wilkerson_09007dcc80642bb4.pdf.
Pełny tekst źródłaVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed June 18, 2009) Includes bibliographical references (p. 62-64).
Gramz, James. "Using Evolutionary Programming to increase the accuracy of an ensemble model for energy forecasting". Thesis, Marquette University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1554240.
Pełny tekst źródłaNatural gas companies are always trying to increase the accuracy of their forecasts. We introduce evolutionary programming as an approach to forecast natural gas demand more accurately. The created Evolutionary Programming Engine and Evolutionary Programming Ensemble Model use the current GasDay models, along with weather and historical flow to create an overall forecast for the amount of natural gas a company will need to supply to their customers on a given day. The existing ensemble model uses the GasDay component models and then tunes their individual forecasts and combines them to create an overall forecast.
The inputs into the Evolutionary Programming Engine and Evolutionary Programming Ensemble Model were determined based on currently used inputs and domain knowledge about what variables are important for natural gas forecasting. The ensemble model design is based on if-statements that allow different equations to be used on different days to create a more accurate forecast, given the expected weather conditions.
This approach is compared to what GasDay currently uses based on a series of error metrics and comparisons on different types of weather days and during different months. Three different operating areas are evaluated, and the results show that the created Evolutionary Programming Ensemble Model is capable of creating improved forecasts compared to the existing ensemble model, as measured by Root Mean Square Error (RMSE) and Standard Error (Std Error). However, the if-statements in the ensemble models were not able to produce individually reasonable forecasts, which could potentially cause errant forecasts if a different set of if-statements are true on a given day.
Hong, Libin. "Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes". Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52348/.
Pełny tekst źródłaNwamba, André Chidi. "Automated offspring sizing in evolutionary algorithms". Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Nwamba_09007dcc8068c83d.pdf.
Pełny tekst źródłaVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed August 10, 2009) Includes bibliographical references (p. 49-51).
Skolicki, Zbigniew Maciej. "An analysis of island models in evolutionary computation". Fairfax, VA : George Mason University, 2007. http://hdl.handle.net/1920/2954.
Pełny tekst źródłaTitle from PDF t.p. (viewed Jan. 22, 2008). Thesis director: Kenneth A. De Jong. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Vita: p. 422. Includes bibliographical references (p. 413-421). Also available in print.
Książki na temat "Evolutionary programming (computer science)"
Conference on Evolutionary Programming (4th 1995 San Diego, Calif.). Evolutionary programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming. Cambridge, Mass: MIT Press, 1995.
Znajdź pełny tekst źródłaConference on Evolutionary Programming (5th 1996 San Diego, Calif.). Evolutionary programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming. Cambridge, Mass: MIT Press, 1996.
Znajdź pełny tekst źródłaFogel, Lawrence J. Intelligence through simulated evolution: Forty years of evolutionary programming. New York: Wiley, 1999.
Znajdź pełny tekst źródłaYu, Xinjie. Introduction to evolutionary algorithms. London: Springer, 2010.
Znajdź pełny tekst źródłaKramer, Oliver. Self-adaptive heuristics for evolutionary computation. Berlin: Springer, 2008.
Znajdź pełny tekst źródłaSpears, William M. Evolutionary algorithms: The role of mutation and recombination. Berlin: Springer, 2000.
Znajdź pełny tekst źródła1979-, Chiong Raymond, red. Nature-inspired informatics for intelligent applications and knowledge discovery: Implications in business, science, and engineering. Hershey, PA: Information Science Reference, 2009.
Znajdź pełny tekst źródłaW, Porto V., IEEE Neural Networks Council i Conference on Evolutionary Programming (7th : 1998 : San Diego, Calif.), red. Evolutionary programming VII: 7th international conference, EP98, San Diego, California, USA, March 25-27, 1998 : proceedings. Berlin: Springer, 1998.
Znajdź pełny tekst źródła1949-, Dumitrescu D., red. Evolutionary computation. Boca Raton, FL: CRC Press, 2000.
Znajdź pełny tekst źródłaBranke, Jürgen. Evolutionary optimization in dynamic environments. Boston: Kluwer Academic Publishers, 2002.
Znajdź pełny tekst źródłaCzęści książek na temat "Evolutionary programming (computer science)"
Bo, Cheng, Guo Zhenyu, Bai Zhifeng i Cao Binggang. "Parallel Chaos Immune Evolutionary Programming". W Lecture Notes in Computer Science, 224–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11941439_26.
Pełny tekst źródłaYao, Xin, i Yong Liu. "Scaling up evolutionary programming algorithms". W Lecture Notes in Computer Science, 103–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0040764.
Pełny tekst źródłaFogel, David B., i Lawrence J. Fogel. "An introduction to evolutionary programming". W Lecture Notes in Computer Science, 21–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61108-8_28.
Pełny tekst źródłaLiu, Yong. "Measurements in Fast Evolutionary Programming". W Communications in Computer and Information Science, 79–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16388-3_9.
Pełny tekst źródłaShum, Wing-Ho, Kwong-sak Leung i Man-Leung Wong. "Co-evolutionary Rule-Chaining Genetic Programming". W Lecture Notes in Computer Science, 546–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11508069_71.
Pełny tekst źródłaZhu, Shinin, i Robert G. Reynolds. "Fuzzy cultural algorithms with evolutionary programming". W Lecture Notes in Computer Science, 209–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0040774.
Pełny tekst źródłaLiu, Yong. "Self-adaptation in Fast Evolutionary Programming". W Communications in Computer and Information Science, 232–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04962-0_27.
Pełny tekst źródłaMyung, Hyun, i Jong-Hwan Kim. "Lagrangian-based evolutionary programming for constrained optimization". W Lecture Notes in Computer Science, 35–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0028519.
Pełny tekst źródłaLiang, Ko-Hsin, Xin Yao, Charles Newton i David Hoffman. "Solving cutting stock problems by evolutionary programming". W Lecture Notes in Computer Science, 755–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0040826.
Pełny tekst źródłaWong, Kit Po, i Jason Yuryevich. "Optimal Power Flow Method Using Evolutionary Programming". W Lecture Notes in Computer Science, 405–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48873-1_52.
Pełny tekst źródłaStreszczenia konferencji na temat "Evolutionary programming (computer science)"
Chansareewittaya, Suppakarn. "Optimal Allocations of FACTS Controllers for Economic Dispatch using Evolutionary Programming". W 2017 21st International Computer Science and Engineering Conference (ICSEC). IEEE, 2017. http://dx.doi.org/10.1109/icsec.2017.8443901.
Pełny tekst źródłaJi, Dou, i Xiang-jun Wang. "An Efficient Evolutionary Programming". W 2008 International Symposium on Information Science and Engineering (ISISE). IEEE, 2008. http://dx.doi.org/10.1109/isise.2008.313.
Pełny tekst źródłaLiu, Yong. "Evolutionary Programming with Operator Adaptation". W 7th IEEE International Conference on Computer and Information Technology (CIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/cit.2007.165.
Pełny tekst źródłaZirui Ma. "Function optimization research based on evolutionary programming". W IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.2391.
Pełny tekst źródłaSiqing Xue i Jie Wu. "Gene expression programming based on symbiotic evolutionary algorithm". W 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6010439.
Pełny tekst źródłaVu, Tuong Manh, Charlotte Probst, Joshua M. Epstein, Alan Brennan, Mark Strong i Robin C. Purshouse. "Toward inverse generative social science using multi-objective genetic programming". W GECCO '19: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3321707.3321840.
Pełny tekst źródłaHoorfar, A., F. Ahmad i C. Thajudeen. "Synthesis of wideband imaging beamformers using evolutionary programming". W 2008 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting. IEEE, 2008. http://dx.doi.org/10.1109/aps.2008.4619366.
Pełny tekst źródłaXu, Cao-cao, i Qi-ming Yang. "Decoupling the Lookaside Buffer from Simulated Annealing in Evolutionary Programming". W 2015 International Industrial Informatics and Computer Engineering Conference. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/iiicec-15.2015.389.
Pełny tekst źródłaHajebi, Maryam, i Ahmad Hoorfar. "A Multi-Resolution Evolutionary Programming Technique For GPR Applications". W 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting. IEEE, 2019. http://dx.doi.org/10.1109/apusncursinrsm.2019.8888763.
Pełny tekst źródłaKalluri, Charulatha, Sathyanarayana S. Rao i Nelatury Sudarshan Rao. "Using evolutionary programming for reconstruction of an irregularly sampled bandlimited sequence". W International Symposium on Optical Science and Technology, redaktorzy Bruno Bosacchi, David B. Fogel i James C. Bezdek. SPIE, 2001. http://dx.doi.org/10.1117/12.448336.
Pełny tekst źródłaRaporty organizacyjne na temat "Evolutionary programming (computer science)"
Anderson, Loren James, i Marion Kei Davis. Functional Programming in Computer Science. Office of Scientific and Technical Information (OSTI), styczeń 2016. http://dx.doi.org/10.2172/1237221.
Pełny tekst źródłaProskura, Svitlana L., i Svitlana H. Lytvynova. The approaches to Web-based education of computer science bachelors in higher education institutions. [б. в.], lipiec 2020. http://dx.doi.org/10.31812/123456789/3892.
Pełny tekst źródłaHlushak, Oksana M., Volodymyr V. Proshkin i Oksana S. Lytvyn. Using the e-learning course “Analytic Geometry” in the process of training students majoring in Computer Science and Information Technology. [б. в.], wrzesień 2019. http://dx.doi.org/10.31812/123456789/3268.
Pełny tekst źródłaTkachuk, Viktoriia V., Vadym P. Shchokin i Vitaliy V. Tron. The Model of Use of Mobile Information and Communication Technologies in Learning Computer Sciences to Future Professionals in Engineering Pedagogy. [б. в.], listopad 2018. http://dx.doi.org/10.31812/123456789/2668.
Pełny tekst źródłaMarkova, Oksana M., Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska, Pavlo P. Nechypurenko i Vitaliy V. Tron. Implementation of cloud service models in training of future information technology specialists. [б. в.], wrzesień 2019. http://dx.doi.org/10.31812/123456789/3270.
Pełny tekst źródłaStriuk, Andrii M., i Serhiy O. Semerikov. The Dawn of Software Engineering Education. [б. в.], luty 2020. http://dx.doi.org/10.31812/123456789/3671.
Pełny tekst źródłaModlo, Yevhenii O., Serhiy O. Semerikov, Pavlo P. Nechypurenko, Stanislav L. Bondarevskyi, Olena M. Bondarevska i Stanislav T. Tolmachev. The use of mobile Internet devices in the formation of ICT component of bachelors in electromechanics competency in modeling of technical objects. [б. в.], wrzesień 2019. http://dx.doi.org/10.31812/123456789/3264.
Pełny tekst źródłaBalyk, Nadiia, Svitlana Leshchuk i Dariia Yatsenyak. Developing a Mini Smart House model. [б. в.], luty 2020. http://dx.doi.org/10.31812/123456789/3741.
Pełny tekst źródłaShamonia, Volodymyr H., Olena V. Semenikhina, Volodymyr V. Proshkin, Olha V. Lebid, Serhii Ya Kharchenko i Oksana S. Lytvyn. Using the Proteus virtual environment to train future IT professionals. [б. в.], luty 2020. http://dx.doi.org/10.31812/123456789/3760.
Pełny tekst źródłaStriuk, Andrii M. Software engineering: first 50 years of formation and development. [б. в.], grudzień 2018. http://dx.doi.org/10.31812/123456789/2880.
Pełny tekst źródła