Brief Papers: Parallel Algorithms for Finding a Near-Maximum Independent Set of a Circle Graph

Yoshiyasu Takefuji, Li Lin Chen, Kuo Chun Lee, John Huffman

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

A parallel algorithm for finding a near-maximum independent set in a circle graph is presented. An independent set in a graph is a set of vertices, no two of which are adjacent. A maximum independent set is an independent set whose cardinality is the largest among all independent sets of a graph. The algorithm is modified for predicting the secondary structure in ribonucleic acids (RNA). The proposed system, composed of an n neural network array (where n is the number of edges in the circle graph or the number of possible base pairs) not only generates a near-maximum independent set but also predicts the secondary structure of ribonucleic acids within several hundred iteration steps. Our simulator discovered several solutions which are more stable structures, in a sequence of 359 bases from the potato spindle tuber viroid (PSTV), than the formerly proposed structures. The simulator was tested in solving other problems.

Original languageEnglish
Pages (from-to)263-267
Number of pages5
JournalIEEE Transactions on Neural Networks
Volume1
Issue number3
DOIs
Publication statusPublished - 1990 Sep

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ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

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