Books on the topic 'Hybridní algoritmus'

Abraham, Ajith, Crina Grosan, and Hisao Ishibuchi, eds. Hybrid Evolutionary Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73297-6.

Affenzeller, Michael. New hybrid variants of genetic algorithms: Theoretical and practical aspects. Linz: Universitätsverlag Rudolf Trauner, 2003.

Affenzeller, Michael. New hybrid variants of genetic algorithms: Theoretical and practical aspects. Linz: Universitätsverlag Rudolf Trauner, 2003.

Neural, novel & hybrid algorithms for time series prediction. New York: John Wiley & Sons, 1995.

Moursli, Omar. Scheduling the hybrid flowshop: Branch and bound algorithms. Louvain-la-Neuve: CIACO, 1999.

Oliva, Diego, and Salvador Hinojosa, eds. Applications of Hybrid Metaheuristic Algorithms for Image Processing. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40977-7.

Lincoln, Patrick. A formally verified alrgothim for interactive consistency under a hybrid fault model. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

Lincoln, Patrick. A formally verified alrgothim for interactive consistency under a hybrid fault model. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

Hallett, Andrew Hughes. Hybrid algorithms with automatic switching for solving nonlinear equation systems. Glasgow: Dept. of Economics, Fraser of Allander Institute, University of Strathclyde, 1996.

Ruan, Da. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms. Boston, MA: Springer US, 1997.

Heuristics and metaheuristics for heavily constrained hybrid flowshop problems. Amsterdam]: IOS Press, 2011.

Heymann, Michael. Control synthesis for a class of hybrid systems subject to configuration-based safety constraints. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1997.

Hybrid algorithms for service, computing and manufacturing systems: Routing and scheduling solutions. Hershey, PA: Information Science Reference, 2012.

Castillo, Oscar, and Patricia Melin, eds. Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68776-2.

Rekiek, Brahim. Assembly line design: The balancing of mixed-model hybrid assembly lines with genetic algorithms. London: Springer, 2006.

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

Khouzam, Nelly. GenID3: A hybrid approach to feature construction in decision trees using genetic algorithms. Manchester: UMIST, 1997.

K, Wang R., ed. Frequency domain filtering strategies for hybrid optical information processing. Taunton, Somerset, England: Research Studies Press, 1996.

Wang, Fu-Quan. A hybrid M-algorithm/sequential decoder for convolutional and Trellis codes. Notre Dame, Ind: Dept. of Electrical Engineering, University of Notre Dame, 1990.

Wang, Fu-Quan. A hybrid M-algorithm/sequential decoder for convolutional and Trellis codes. Notre Dame, Ind: Dept. of Electrical Engineering, University of Notre Dame, 1990.

Wang, Fu-Quan. A hybrid M-algorithm/sequential decoder for convolutional and Trellis codes. Notre Dame, Ind: Dept. of Electrical Engineering, University of Notre Dame, 1990.

Crina, Grosan, Abraham Ajith 1968-, and Ishibuchi Hisao, eds. Hybrid evolutionary algorithms. Berlin: Springer, 2007.

Ishibuchi, Hisao, Ajith Abraham, and Crina Grosan. Hybrid Evolutionary Algorithms. Springer, 2010.

Talbi, El-ghazali. Hybrid Metaheuristics. Springer, 2014.

Hybrid Media Activism: Ecologies, Imaginaries, Algorithms. Routledge, 2018.

Hybrid Metaheuristics. Springer, 2012.

Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03897-293-8.

Da, Ruan, ed. Intelligent hybrid systems: Fuzzy logic, neural networks, and genetic algorithms. Boston: Kluwer Academic Publishers, 1997.

Lauer, Fabien, and Gérard Bloch. Hybrid System Identification: Theory and Algorithms for Learning Switching Models. Springer, 2019.

Ruan, Da. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms. Springer, 2011.

Ruan, Da. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms. Springer, 1997.

Lauer, Fabien, and Gérard Bloch. Hybrid System Identification: Theory and Algorithms for Learning Switching Models. Springer, 2018.

Blum, Christian, and Günther R. Raidl. Hybrid Metaheuristics: Powerful Tools for Optimization. Springer, 2018.

Christian, Blum, ed. Hybrid metaheuristics: An emerging approach to optimization. Berlin: Springer, 2008.

Fletcher, Justin Barrows Swore. A constructive approach to hybrid architectures for machine learning. 1994.

Delchambre, Alain, and Brahim Rekiek. Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms. Springer, 2010.

Bäck, Thomas. Evolutionary Algorithms in Theory and Practice. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195099713.001.0001.

Delchambre, Alain, and Brahim Rekiek. Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms (Springer Series in Advanced Manufacturing). Springer, 2005.

Siddique, Nazmul. Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms. Springer, 2016.

Blum, Christian, Maria J. Blesa Aguilera, Haroldo Gambini Santos, Pedro Pinacho-Davidson, and Julio Godoy del Campo. Hybrid Metaheuristics: 11th International Workshop, HM 2019, Concepción, Chile, January 16–18, 2019, Proceedings. Springer, 2018.

Hybrid Metaheuristics: 9th International Workshop, HM 2014, Hamburg, Germany, June 11-13, 2014, Proceedings. Springer, 2014.

Blum, Christian, Maria J. Blesa, Michael Sampels, Paola Festa, and Andrea Roli. Hybrid Metaheuristics: 8th International Workshop, HM 2013, Ischia, Italy, May 23-25, 2013. Proceedings. Springer, 2013.

Bisseling, Rob H. Parallel Scientific Computation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198788348.001.0001.