Evolutionary Computation in Brazil: A Review of the Literature in Two Databases

Autores

  • Renato Tinós USP-SP
  • André C. P. L. F. de Carvalho USP-SP

DOI:

https://doi.org/10.13037/ria.vol4n2.312

Palavras-chave:

Evolutionary Computation, Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Artificial Intelligence, Optimization

Resumo

Similar to what can be found all over the world, Evolutionary Computation (EC) has been receiving an increasing attention in Brazil in the last decade. It is possible to find several works on EC, both in theory and applications, produced by Brazilian researchers. In this paper, a review of the works on EC produced in Brazil indexed in two important databases until April 2006 is presented. The papers are classified, and the results are discussed. Most of works on EC produced in Brazil are applications, mainly in the areas where the use of optimization methods is traditional. The EC terminology employed in Brazil is discussed in this paper too. One can observe that different terms are used to describe the same elements of EC.

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Biografia do Autor

Renato Tinós, USP-SP

Departamento de Física e Matemática, FFCLRP, Universidade de São Paulo (USP) 14040-901, Ribeirão Preto, SP, Brasil

André C. P. L. F. de Carvalho, USP-SP

Departamento de Ciências de Computação e Estatística, ICMC, Universidade de São Paulo (USP) 13560-970, São Carlos, SP, Brasil

Referências

[1] COMPENDEX. http://www.engineering village2.org, accessed in April, 2006.

[2] ISI WEB OF SCIENCE. http://portal. isiknowledge.com, accessed in April, 2006.

[3] G. L. C. M. ABREU and J. F. RIBEIRO. Optimal design of fuzzy controllers using evolutionary genetic algorithms. Int. Conf. on KnowledgeBased Intelligent Electronic Systems, Proc., KES, 2:503 - 509, 2000.

[4] H. AHONEN, P. A. SOUZA JÚNIOR, and V. K. Garg. Genetic algorithm for fitting Lorentzian line shapes in Mössbauer spectra. Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms, 124(4):633 - 638, 1997.

[5] L. D. S. ALCANTARA, M. A. C. LIMA, A. C. CESAR, B. H. V. BORGES, and F. L. TEIXEIRA. Design of a multifunctional integrated optical isolator switch based on nonlinear and nonreciprocal effects. Optical Engineering, 44(12):124002/1 - 124002/9, 2005.

[6] G. M. ALMEIDA, C. M. L. BARBOSA, M. CARDOSO, E. D. OLIVEIRA, and S. W. PARK. Análise dos dados operacionais da caldeira de recuperação por meio das técnicas de visualização de dados, de seleção de variáveis e de redes neurais. O Papel (Brazil), 66(8):66 - 73, 2005.

[7] G. M. ALMEIDA, V. V. ROCHA e SILVA, E. G. NEPOMUCENO, and R. Yokoyama. Application of genetic programming for fine tuning PID controller parameters designed through ziegler-nichols technique. Lecture Notes in Computer Science, 3612(PART III):313 - 322, 2005.

[8] H. L. S. ALMEIDA, A. BHAYA, D. M. FALCÃO, and E. KASZKUREWICZ. A team algorithm for robust stability analysis and control design of uncertain time-varying linear systems using piecewise quadratic lyapunov functions. Int. Journal of Robust and Nonlinear Control, 11(4):357 - 371, 2001.

[9] L. A. L. ALMEIDA, G. S. DEEP, A. M. N. LIMA, and H. NEFF. Modeling a magnetostrictive transducer using genetic algorithm. Journal of Magnetism and Magnetic Materials, 226(SUPPL 2):1262 - 1264, 2001.

[10] M. R. ALMEIDA, S. HAMACHER, M. A. C. PACHECO, and M. B. R. VELLASCO. The energy minimization method: A multiobjective fitness evaluation technique and its application to the production scheduling in a petroleum refinery. Proc. of the IEEE Conf. on Evolutionary Computation, ICEC, 1:560 - 567, 2001.

[11] M. R. ALMEIDA, S. HAMACHER, M. A. C. PACHECO, and M. M. B. R. VELLASCO. Optimizing the production scheduling of a petroleum refinery through genetic algorithms. Int. Journal of Industrial Engineering : Theory Applications and Practice, 10(1):35 - 44, 2003.

[12] R. A. ALMEIDA, A. H. M. SANTOS, and S. V. BAJAY. Designing industrial cogeneration systems with the help of a genetic algorithm: An application for an oil refinery. Proc. of the International Conference on Efficiency, Cost, Optimisation, Simulation and Environmental Aspects of Energy and Process Systems, ECOS 2000, 3:1567 - 1574, 2000.

[13] H. N. ALVES, B. A. SOUZA, H. D. M. BRAZ, and N. KAGAN. Optimal capacitor allocation in electrical distribution systems based on typical load profiles. 2004 IEEE/PES Transmission and Distribution Conf. and Exposition: Latin America, pages 441 - 447, 2004.

[14] R. M. B. ALVES, C. A. O. NASCIMENTO, L. V. LOUREIRO, P. FLOQUET, and X. JOULIA. Multiobjective optimization of industrial nylon 6,6 polymerization process in a twin-screw extruder reactor using genetic algorithm approach. CHISA 2004 - 16th Int. Cong. of Chemical and Process Engineering, pages 9639 - 9651, 2004.

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Publicado

2010-03-30

Como Citar

Tinós, R., & de Carvalho, A. C. P. L. F. (2010). Evolutionary Computation in Brazil: A Review of the Literature in Two Databases. Revista De Informática Aplicada, 4(2). https://doi.org/10.13037/ria.vol4n2.312

Edição

v. 4 n. 2 (2008)

Seção

Artigos Originais

Licença

Copyright (c) 2010 Renato Tinós, André C. P. L. F. de Carvalho

Creative Commons License

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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