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The Fuzzy-Genetic System for Multiobjective Optimization

  • Conference paper
Swarm and Evolutionary Computation (EC 2012, SIDE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7269))

Abstract

The article presents the idea of the intelligent system for the multiobjective optimization. The system consists of the genetic algorithm (GA) and the fuzzy logic controller (FLC). In experiments we investigated the maintenance of genetic algorithms with the variable length of genes. The genes of individuals are encoded and represented by real numbers. The FLC controls the length of individuals’ genotypes in the genetic algorithm. The variable length of the genotype of individuals allows for the limitation of the computational effort, when the length of the genotype of an individual grows smaller. We chose the problem of the distribution of Access Points in a given area in a wireless network as the test-function for our experiments. In the article we presented the results obtained during the optimization of the test-function. The experiments show, that the proposed system is an efficient tool for solving the multiobjective optimization problems. The proposed system can be used to solve similar problems of multiobjective optimization.

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References

  1. Sakawa, M.: Genetic Algorithms and fuzzy Multiobjective optimization. Kluwer Academic Publications, Boston (2002)

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  4. Pytel, K.: The Fuzzy Genetic Strategy for Multiobjective Optimization. In: Proceedings of the Federated Conference on Computer Science and Information Systems, Szczecin (2011)

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Author information

Authors and Affiliations

  1. Department of Theoretical Physics and Computer Science, University of Lodz, Poland

    Krzysztof Pytel

  2. Department of Biophysics, Medical University, Lodz, Poland

    Tadeusz Nawarycz

Authors
  1. Krzysztof Pytel
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  2. Tadeusz Nawarycz
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, KrakĂłw, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hallz, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Pytel, K., Nawarycz, T. (2012). The Fuzzy-Genetic System for Multiobjective Optimization. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Swarm and Evolutionary Computation. EC SIDE 2012 2012. Lecture Notes in Computer Science, vol 7269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29353-5_38

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  • DOI: https://doi.org/10.1007/978-3-642-29353-5_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29352-8

  • Online ISBN: 978-3-642-29353-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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