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Retroviral Iterative Genetic Algorithm for Real Parameter Function Optimization Problems

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Advances in Computation and Intelligence (ISICA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6382))

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Abstract

This paper describes the development of a new hybrid meta-heuristic of optimization based on a viral lifecycle, specifically the retroviruses (the nature’s swiftest evolvers’), called Retroviral Iterative Genetic Algorithm (RIGA). This algorithm uses Genetics Algorithms (GA) structures with features of retroviral replication, providing a great genetic diversity, confirmed by better results achieved by RIGA comparing with GA applied to some Real-Valued Benchmarking Functions.

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Authors and Affiliations

  1. Instituto de Tecnologia, Universidade Federal do Pará (UFPA), Caixa-Postal 479, 66075-110, Belém, Pará, Brazil

    Renato Simões Moreira, Otávio Noura Teixeira, Átila Siqueira Soares & Roberto Célio Limão de Oliveira

  2. Instituto de Ciências Exatas e Naturais, Universidade Federal do Pará (UFPA), Caixa-Postal 479, 66075-110, Belém, Pará, Brazil

    Glauber Duarte Monteiro

  3. Laboratório de Computação Natural, Centro Universitário do Estado do Pará (CESUPA), Av. Gov. José Malcher, 1963, 66060-230, Belém, Pará, Brazil

    Renato Simões Moreira, Glauber Duarte Monteiro & Otávio Noura Teixeira

Authors
  1. Renato Simões Moreira
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  2. Glauber Duarte Monteiro
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  3. Otávio Noura Teixeira
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  4. Átila Siqueira Soares
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  5. Roberto Célio Limão de Oliveira
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Editor information

Editors and Affiliations

  1. School of Computer Science, China University of Geosciences, 430074, Wuhan, Hubei, P.R. China

    Zhihua Cai

  2. School of Computer Science, China University of Geosciences, Wu-Han, China University of Geosciences, 430074, Wuhan, Hubei, P.R. China

    Chengyu Hu

  3. Computation Center, Wuhan University, 430072, Wuhan, Hubei, China

    Zhuo Kang

  4. School of Computer Science and Engineering, The University of Aizu, Tsuruga, Ikki-machi, 965-8580, Aizu-Wakamatsu City, Fukushima, Japan

    Yong Liu

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© 2010 Springer-Verlag Berlin Heidelberg

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Moreira, R.S., Monteiro, G.D., Teixeira, O.N., Soares, Á.S., de Oliveira, R.C.L. (2010). Retroviral Iterative Genetic Algorithm for Real Parameter Function Optimization Problems. In: Cai, Z., Hu, C., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2010. Lecture Notes in Computer Science, vol 6382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16493-4_23

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  • DOI: https://doi.org/10.1007/978-3-642-16493-4_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16492-7

  • Online ISBN: 978-3-642-16493-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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