Clustering analysis on the design of complex DNA nanostructures using DNA hybridisation, swarm intelligence and genetic algorithm. Issue 3 (2018)

• Record Type: Journal Article
• Authors: Ganeshbabu, K.
• Is Part Of: International journal of knowledge engineering and data mining. Volume 5:Issue 3(2018)
• Page Start: 153
• Page End: 172
• Publication Date: 2018
• Subjects: clustering -- swarm intelligence -- genetic algorithm -- DNA nanostructures -- DNA hybridisation; Knowledge representation (Information theory) -- Periodicals; Data mining -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-2087

Abstract

The main objective of this work is to study the clustering techniques with swarm intelligence and genetic algorithm to create new algorithms and to improve the existing algorithms in order to apply them to the issues of design the nanostructure to computationally simulate the DNA sequence recognition process and to achieve an optimised conformation for the complex structure, the relative orientation between motif pattern and DNA hybridisation such that to bind the complementary DNA sequences to form structure. In the design of nanostructure, DNA molecular recognition capacities make DNA an appealing candidate for the construction of novel nanomaterials. The modified Boyer Moore algorithm and modified K-nearest neighbour is for design the complex nanostructures to improve a candidate solution with regard to a given measure of quality.