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A Comparison of Tree Search Methods for Graph Topology Design Problems

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Design Computing and Cognition '18 (DCC 2018)

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Abstract

In this paper, we discuss the relevance and effectiveness of two common methods for searching decision trees that represent design problems. When design problems are encoded in decision trees they are often multimodal, capture a range of complexity in valid solutions, and have distinguishable internal locations.

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Acknowledgements

This material is based upon work supported by the National Science Foundation under grant CMMI-1662731. Any opinions, findings, and conclusions or recommendations presented in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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Authors and Affiliations

  1. Oregon State University, Corvallis, USA

    Ada-Rhodes Short, Bryony L. DuPont & Matthew I. Campbell

Authors
  1. Ada-Rhodes Short
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  2. Bryony L. DuPont
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  3. Matthew I. Campbell
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Corresponding author

Correspondence to Matthew I. Campbell .

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Editors and Affiliations

  1. Department of Computer Science and School of Architecture, University of North Carolina at Charlotte, Charlotte, NC, USA

    John S. Gero

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Short, AR., DuPont, B.L., Campbell, M.I. (2019). A Comparison of Tree Search Methods for Graph Topology Design Problems. In: Gero, J. (eds) Design Computing and Cognition '18. DCC 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-05363-5_5

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  • DOI: https://doi.org/10.1007/978-3-030-05363-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05362-8

  • Online ISBN: 978-3-030-05363-5

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