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Abstract: Genetic programming (GP) is applied to a multobjective optimisation problem and the advantages of its hierarchical tree encoding scheme are compared with an earlier use of a subset representation approach which used string-encoded genetic algorithms. The GP approach is applied to the identification of non-linear system polynomial models and provides a trade-off between the complexity and the performance of the models. Multiobjective Genetic Programming is not only presented as a... (Update)
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...the next generation among N parents and N children) for the aerodynamic design of compressor blade shapes. Rodr iguez V azquez et al. [78] extended MOGA to use it in genetic programming, introducing the so called MOGP (Multiple Objective Genetic Programming) Genetic...
...for the next generation among N parents and N children) for the aerodynamic design of compressor blade shapes. Rodrguez Vazquez et al. [31] extended MOGA to use it in genetic programming, introducing the so called MOGP (Multiple Objective Genetic Programming) Genetic...
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BibTeX entry: (Update)
Katya Rodr'iguez-V'azquez, Carlos M. Fonseca, and Peter J. Fleming. Multiobjective Genetic Programming : A Nonlinear System Identification Application. In John R. Koza, editor, Late Breaking Papers at the Genetic Programming 1997 Conference, pages 207--212, Stanford University, California, July 1997. Stanford Bookstore. http://citeseer.ist.psu.edu/rodriguez-vazquez97multiobjective.html More
@inproceedings{ rodriguezvazquez97multiobjective,
author = "Katya Rodriguez-Vazquez and Carlos M. Fonseca and Peter J. Fleming",
title = "Multiobjective Genetic Programming: {A} Nonlinear System Identification Application",
booktitle = "Late Breaking Papers at the 1997 Genetic Programming Conference",
month = "13--16",
publisher = "Stanford Bookstore",
address = "Stanford University, CA, USA",
editor = "John R. Koza",
isbn = "0-18-206995-8",
pages = "207--212",
year = "1997",
url = "citeseer.ist.psu.edu/rodriguez-vazquez97multiobjective.html" }
Citations (may not include all citations):1053 Genetic Programming: On the Programming of Computers by Mean.. (context) - Koza - 1992
191 An Overview of Evolutionary Algorithms in Multiobjective Opt.. - Fonseca, Fleming - 1995
162 Genetic Algorithms for Multi-Objective Optimization: Formula.. - Fonseca, Fleming - 1993
38 Simulation of Genetic Populations with Biochemical Propertie.. (context) - Rosenberg - 1967
30 Input-Output Parametric Models for Non-Linear Systems (context) - Leontaris, Billings - 1985
15 Evolving Signal Processing Algorithms by Genetic Programming (context) - Sharman, Esparcia-Alczar et al. - 1995
9 Nonlinear System Identification with Multiobjective Genetic .. (context) - Fonseca, Fleming - 1996
7 Characterization of Pareto and Lexicographic Optimal Solutio.. (context) - Ben-Tal - 1980
2 Adaptive Fitness Functions for Dynamic Growing/Pruning (context) - Zhang, Mhlenbein - 1996
2 Nonlinear Parameter Estimation Techniques (context) - Voon - 1984
1 An Evolutionary Approach to Non-Linear System Identification (context) - Rodrguez-Vzquez, Fonseca et al. - 1997
1 Genetically Optimizing the Speed of Programs Evolved to Play.. - Siegel, Chaffe - 1996
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