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Biclustering Using Venus Flytrap Optimization Algorithm

  • R. GowriEmail author
  • S. Sivabalan
  • R. Rathipriya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 410)

Abstract

Digging up the coregulated gene biclusters using a novel Nature-inspired Meta-Heuristic algorithm named Venus Flytrap Optimization (VFO). This optimized biclustering approach will yield highly correlated biclusters. This algorithm is based on the rapid closure behavior of the Venus Flytrap (Dionaea Muscipula) leaves. Gene temperament is understood from their exposure under specific conditions. So far, Optimal Biclusters are extracted using various optimization algorithms like PSO, Genetic algorithm, SA, etc., were used for this kind of analysis. In this paper, VFO algorithm is used for extracting optimal biclusters and results are compared with those obtained by applying PSO, SA, PSO-SA Biclustering algorithms.

Keywords

Venus flytrap optimization VFO Biclustering Gene expression Nature-Inspired optimization Green intelligence algorithm 

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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Department of Computer SciencePeriyar UniversitySalemIndia

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