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Solving static and dynamic fuzzy constraint networks using evolutionary hill-climbing

  • Issues in Evolutionary Optimization
  • Conference paper
  • First Online:
Evolutionary Programming VI (EP 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1213))

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Abstract

In this paper we combine the concept of evolutionary hill-climbing search with the systematic search concept of arc revision to form a hybrid system that quickly finds solutions to static and dynamic Fuzzy Constraint Truth Optimization Problems (FCTOPs). We compare the static and dynamic methods for solving FCTOPs using a test suite of an additional 250 randomly generated FCTOPs. In the static method, all the constraints of a FCTOP are known by the hybrid system at runtime. In the dynamic method, only half of the constraints of a FCTOP are known at run-time. Each time our hybrid system discovers a solution that satisfies all of the constraints of the the current network, one additional constraint is added. Results show that our algorithm performs exceptionally well in the presence of dynamic (incremental) constraints.

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Author information

Authors and Affiliations

  1. NASA Center for Autonomous Control Engineering, North Carolina A&T State University, 27411, Greensboro, NC, USA

    Gerry Dozier, Abdollah Homaifar & Albert Esterline

  2. Department of Computer Science, National University of Ireland at Cork, Cork, Ireland

    James Bowen

Authors
  1. Gerry Dozier
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  2. James Bowen
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  3. Abdollah Homaifar
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  4. Albert Esterline
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Editor information

Peter J. Angeline Robert G. Reynolds John R. McDonnell Russ Eberhart

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© 1997 Springer-Verlag Berlin Heidelberg

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Dozier, G., Bowen, J., Homaifar, A., Esterline, A. (1997). Solving static and dynamic fuzzy constraint networks using evolutionary hill-climbing. In: Angeline, P.J., Reynolds, R.G., McDonnell, J.R., Eberhart, R. (eds) Evolutionary Programming VI. EP 1997. Lecture Notes in Computer Science, vol 1213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014811

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  • DOI: https://doi.org/10.1007/BFb0014811

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62788-3

  • Online ISBN: 978-3-540-68518-0

  • eBook Packages: Springer Book Archive

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