Genetic Programming Bibliography entries for Lavinia Ferariu
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
GP coauthors/coeditors:
Alina Patelli,
Bogdan Burlacu,
Genetic Programming Articles by Lavinia Ferariu
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Alina Patelli and Lavinia Ferariu.
Elite Based Multiobjective Genetic Programming in Nonlinear Systems Identification.
Advances in Electrical and Computer Engineering, 10(1):94-99, 2010.
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Genetic Programming conference papers by Lavinia Ferariu
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Alina Patelli and Lavinia Ferariu.
Regressor Survival Rate Estimation for Enhanced Crossover Configuration. In
Andrej Dobnikar and Uros Lotric and Branko Ster editors,
10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2011, volume 6593, pages 290-299, Ljubljana, Slovenia, 2011. Springer.
Revised selected papers.
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Alina Patelli and Lavinia Ferariu.
A regressive schema theory based tool for GP evolved nonlinear models. In
17th International Conference on Automation and Computing (ICAC 2011), pages 201-206, Huddersfield, UK, 2011.
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Lavinia Ferariu and Bogdan Burlacu.
Multiobjective genetic programming with adaptive clustering. In
IEEE International Conference on Intelligent Computer Communication and Processing (ICCP 2011), pages 27-32, Cluj-Napoca, Romania, 2011.
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Lavinia Ferariu and Bogdan Burlacu.
Multiobjective Graph Genetic Programming with Encapsulation Applied to Neural System Identification. In
15th International Conference on System Theory, Control, and Computing (ICSTCC 2011), Sinaia, 2011.
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Lavinia Ferariu and Bogdan Burlacu.
Multiobjective design of evolutionary hybrid neural networks. In
17th International Conference on Automation and Computing (ICAC 2011), pages 195-200, Huddersfield, UK, 2011.
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Alina Patelli and Lavinia Ferariu.
Elitist multiobjective nonlinear systems identification with insular evolution and diversity preservation. In
IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press.
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Alina Patelli and Lavinia Ferariu.
Increasing crossover operator efficiency in multiobjective nonlinear systems identification. In
5th IEEE International Conference Intelligent Systems, IS 2010, pages 426-431, London, 2010.
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L. Ferariu and B. Burlacu.
Graph genetic programming for hybrid neural networks design. In
International Joint Conference on Computational Cybernetics and Technical Informatics (ICCC-CONTI), pages 547-552, 2010.
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L. Ferariu and A. Patelli.
Migration-based multiobjective genetic programming for nonlinear system identification. In
5th International Symposium on Applied Computational Intelligence and Informatics, SACI '09, pages 475-480, 2009.
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Lavinia Ferariu and Alina Patelli.
Multiobjective Genetic Programming for Nonlinear System Identification. In
Mikko Kolehmainen and Pekka Toivanen and Bartlomiej Beliczynski editors,
9th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2009, volume 5495, pages 233-242, Kuopio, Finland, 2009. Springer.
Revised selected papers.
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