Abstract
Genetic Algorithms have been successful in several practical appliances and obtained great prominence among the techniques of Evolutionary Computation. A large portion of methods and parameters adopted in its use are heuristic or random choices, which remain unchanged throughout the execution once they are set. This can lead to a certain lack of exploration of the search surface and also compromise the variability of the population. For that matter, this work introduces the implementation of an intelligent agent based on fuzzy logic, enabling dynamic monitoring and regulation of six GA parameters. The results obtained surpass the GA traditional implementation in many aspects, and open a wide new space for research and study.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
de Brito, F.H.: Hawk-Dove Torneio: um novo método de seleção para os algoritmos genéticos baseado na teoria dos jogos evolucionários e estratégias evolucionárias (Dissertation style), Computer science bachelor dissertation, University Center of Pará (CESUPA), Belém, PA, Brazil (2004)
de Brito, F.H., Teixeira, O.N., de Oliveira, R.C.L.: A introdução da interação fenotípica em algoritmos genéticos através dos jogos evolucionários e da codificação e transmissão genética do comportamento (Presented Conference Paper Style). In: VII SBAI/II IEEE LARS: Simpósio Brasileiro de Automação Inteligente / II Latin-American IEEE Robotics Symposium, São Luís, MA, September 18-23 (2005)
DNER. Departamento Nacional de Estradas e Rodagens (November 01, 2004), Online Internet Available: http://www.dnit.gov.br/rodovias/distancias/distancias.asp
Eberhart, R., Simpson, P., Dobbins, R.: Computational intelligence PC tools: an indis-pensable resource for the latest in fuzzy logic, neural network and evolutionary computing (Book Style). American Press Inc. (1996)
FuzzyJ Toolkit and FuzzyJess: (October 14 2005), Online Internet Available http://www.iit.nrc.ca/IR_public/fuzzy/fuzzyJToolkit2.html
Haupt, R.L., Haupt, S.E.: Practical genetic algorithms (Book Style), 2nd edn. John Wiley & Sons, Inc., Chichester (2004)
Lehrer, C.: Operador de seleção para algoritmos genéticos baseado no jogo hawk-dove (Dissertation Style), M.S. Dissertation, Federal University of Santa Catarina, Florianópolis, SC, Brazil (2000)
Mitchell, M.: An introduction to genetic algorithms (Book Style). MIT Press, Cambridge (1999)
Shaw, I.S., Simões, M.G.: Controle e modelagem fuzzy (Book Style). Ed-gard Blücher, São Paulo (1999)
Smith, J.M.: Evolution and the theory of game (Book Style). Cambridge University (1982)
Teixeira, O.N.: Computação evolucionária: dos aspectos filosóficos à implementação dos algoritmos genéticos na solução do problema do caixeiro viajante simétrico (Dissertation Style), Computer science bachelor dissertation, Dept. Inf., Federal University of Pará, Belém, PA, Brazil (2004)
Wang, L.-X.: A course in fuzzy system and control (Book Style). Prentice-Hall International, Englewood Cliffs (1997)
De Jong, K.A.: An Analysis of the Behavior of a Class of Genetic Adaptive Systems (Ph.D. Thesis Style). University of Michigan, Ann Arbor (1975)
Intelligent Desing and Evolution Awareness Center (January 20, 2006), Online Internet Available: http://www.ideacenter.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
de Brito, F.H., Teixeira, A.N., Teixeira, O.N., de Oliveira, R.C.L. (2006). A Fuzzy Intelligent Controller for Genetic Algorithms’ Parameters. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_87
Download citation
DOI: https://doi.org/10.1007/11881070_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45901-9
Online ISBN: 978-3-540-45902-6
eBook Packages: Computer ScienceComputer Science (R0)