論文

査読有り 本文へのリンクあり 国際誌
2020年

Design Automation of Polyomino Set That Self-Assembles into a Desired Shape

26th International Conference on DNA Computing and Molecular Programming (DNA 26)
  • Matsumura, Yuta
  • ,
  • Kawamata, Ibuki
  • ,
  • Murata, Satoshi

174
開始ページ
8:1
終了ページ
8:15
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.4230/LIPIcs.DNA.2020.8
出版者・発行元
Schloss Dagstuhl--Leibniz-Zentrum fur Informatik

The problem of finding the smallest DNA tile set that self-assembles into a desired pattern or shape is a research focus that has been investigated by many researchers. In this paper, we take a polyomino, which is a non-square element composed of several connected square units, as an element of assembly and consider the design problem of the minimal set of polyominoes that self-assembles into a desired shape. We developed a self-assembly simulator of polyominoes based on the agent-based Monte Carlo method, in which the potential energy among the polyominoes is evaluated and the simulation state is updated toward the direction to decrease the total potential. Aggregated polyominoes are represented as an agent, which can move, merge, and split during the simulation. In order to search the minimal set of polyominoes, two-step evaluation strategy is adopted, because of enormous search space including many parameters such as the shape, the size, and the glue types attached to the polyominoes. The feasibility of the proposed method is shown through three examples with different size and complexity.

リンク情報
DOI
https://doi.org/10.4230/LIPIcs.DNA.2020.8 本文へのリンクあり
URL
https://drops.dagstuhl.de/opus/frontdoor.php?source_opus=12961 本文へのリンクあり
ID情報
  • DOI : 10.4230/LIPIcs.DNA.2020.8

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