Conferencia

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Abstract:

A Pareto genetic algorithm for automated biological sequence description and recognition was presented. The methods for the description of features lying the effective frontier or the set of all Pareto-optimal solutions of a multiobjective problem were discussed. An approach based on elimination, simplification and clustering techniques to summarize and organize the Pareto-optimal solutions was introduced. The experimental results of the application of the methodology to the description of DNA sequences were also presented.

Registro:

Documento: Conferencia
Título:Automated Biological Sequence description and recognition by a localized multiobjective genetic algorithm
Autor:Zwir, I.; Romero Zaliz, R.
Ciudad:Research Triange Park, NC
Filiación:Dept. of Computer Science, Fac. de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Palabras clave:Biological Sequences; Fuzzy Logic; Generalized Clustering; Genetic Algorithms; Pareto Optimality; Pattern Recognition; Automation; Computational methods; Data mining; DNA; Fuzzy sets; Genetic algorithms; Identification (control systems); Optimization; Pareto principle; Problem solving; Societies and institutions; Biological sequences; Generalized clustering; Pareto optimality; Pattern recognition
Año:2002
Volumen:6
Página de inicio:586
Página de fin:589
Título revista:Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002
Título revista abreviado:Proc. Jt. Conf. Inf. Sci.
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09707890_v6_n_p586_Zwir

Referencias:

  • Bäck, T., Fogel, D., Michalewicz, Z., (1997) Handbook of Evolutionary Computation, , Institute of Physics Publishing and Oxford University Press
  • Bezdek, J.C., Fuzzy clustering (1998) Handbook of Fuzzy Computation, , E. H. Ruspini, P. P. Bonissone, and W. Pedrycz, editors, chapter F6.2. Institute of Physics Press
  • Chellapilla, K., Fogel, G., Multiple sequence alignment using Evolutionary Programing (1999) Proc. of IEEE Congress on Evolutionary Computation, pp. 445-452
  • Durbin, R., Eddy, S., Krogh, A., Mitchison, G., Biological Sequence Analysis (1998) Probabilistic Models of Proteins and Nucleic Acids, , Cambridge University Press
  • Horn, J., Nafpliotis, N., Goldberg, D., A niched Pareto Genetic Algorithm for multiobjective optimization (1994) Proc. First IEEE Conf. on Evolutionary Computation, pp. 82-87
  • Horng, J., Ching-Mei, L., Liu, B., Kao, C.C., Using Genetic Algorithms to solve multiple sequence alignments (2000) Proc. of the Genetic and Evolutionary Computation Conf., pp. 883-890
  • Krishnapuram, R., Keller, J., A possibilistic approach to clustering (1993) IEEE Transactions on Fuzzy Systems, pp. 98-110
  • Michalewicz, Z., (1999) Genetic Algorithms + Data Structures = Evolution Programs, , Springer
  • Rissanen, J., (1989) Stochastic Complexity in Statistical Inquiry, , World Scientific
  • Ruspini, E.H., A new approach to clustering (1969) Information and Control, 15 (1), pp. 22-32
  • Ruspini, E.H., Zwir, I.S., Automated qualitative description of measurements (1999) Proc. 16th IEEE Instrumentation and Measurement Technology Conf.
  • Vázquez, M., Ben-Dov, C., Lorenzi, H., Moore, T., Schijman, A., Levin, M., The short interspersed repetitive element of Trypanosoma Cruzi, SIRE, is part of VIPER, an anusual retroelement related to long terminal repeat retrotransposon (2000) PNAS, 97 (5), pp. 2128-2133
  • Zwir, I., Ruspini, E.H., Qualitative Object Description: Initial Reports of the Exploration of the Frontier (1999) Proc. of the EUROFUSESIC'99, pp. 485-490. , Budapest, HungaryA4 - Association for Intelligent Machinery; Information Sciences Journal; Duke University; Tamkang University

Citas:

---------- APA ----------
Zwir, I. & Romero Zaliz, R. (2002) . Automated Biological Sequence description and recognition by a localized multiobjective genetic algorithm. Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002, 6, 586-589.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09707890_v6_n_p586_Zwir [ ]
---------- CHICAGO ----------
Zwir, I., Romero Zaliz, R. "Automated Biological Sequence description and recognition by a localized multiobjective genetic algorithm" . Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002 6 (2002) : 586-589.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09707890_v6_n_p586_Zwir [ ]
---------- MLA ----------
Zwir, I., Romero Zaliz, R. "Automated Biological Sequence description and recognition by a localized multiobjective genetic algorithm" . Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002, vol. 6, 2002, pp. 586-589.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09707890_v6_n_p586_Zwir [ ]
---------- VANCOUVER ----------
Zwir, I., Romero Zaliz, R. Automated Biological Sequence description and recognition by a localized multiobjective genetic algorithm. Proc. Jt. Conf. Inf. Sci. 2002;6:586-589.
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09707890_v6_n_p586_Zwir [ ]