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Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems

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Book cover Genetic and Evolutionary Computation – GECCO 2004 (GECCO 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3102))

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Abstract

The optimization of a Fuzzy Cognitive Map model for the supervision and monitoring of the radiotherapy process is proposed. This is performed through the minimization of the corresponding objective function by using the Particle Swarm Optimization and the Differential Evolution algorithms. The proposed approach determines the cause–effect relationships among the concepts of the supervisor–Fuzzy Cognitive Map by computing its optimal weight matrix, through extensive experiments. Results are reported and discussed.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of Patras, GR–26110, Patras, Greece

    K. E. Parsopoulos & M. N. Vrahatis

  2. Department of Electrical and Computer Engineering, University of Patras, GR–26500, Patras, Greece

    E. I. Papageorgiou & P. P. Groumpos

  3. University of Patras Artificial Intelligence Research Center (UPAIRC), University of Patras, GR–26110, Patras, Greece

    K. E. Parsopoulos, E. I. Papageorgiou, P. P. Groumpos & M. N. Vrahatis

Authors
  1. K. E. Parsopoulos
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  2. E. I. Papageorgiou
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  3. P. P. Groumpos
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  4. M. N. Vrahatis
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Editor information

Editors and Affiliations

  1. Indian Institute of Technology Kanpur, Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory (KanGAL), 208016, Kanpur, Uttar Pradesh, India

    Kalyanmoy Deb

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© 2004 Springer-Verlag Berlin Heidelberg

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Parsopoulos, K.E., Papageorgiou, E.I., Groumpos, P.P., Vrahatis, M.N. (2004). Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24854-5_41

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  • DOI: https://doi.org/10.1007/978-3-540-24854-5_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22344-3

  • Online ISBN: 978-3-540-24854-5

  • eBook Packages: Springer Book Archive

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