MSA: An Application of Brain Storm Optimization Algorithm

13 Pages Posted: 9 Jul 2020

See all articles by Pujari Jeevana Jyothi

Pujari Jeevana Jyothi

Vasireddy Venkatadri Institute of Technology

Karteeka Pavan K

RVR&JC College Of Engineering

S M Raiyyan

Vasireddy Venkatadri Institute of Technology

T Rajasekhar

Vasireddy Venkatadri Institute of Technology

Date Written: April 29, 2020

Abstract

BrainStorm Optimization (BSO) algorithm is one of the novel swarm intelligence algorithms motivated by the brainstorming of the human being’s behavior for solving optimization problems. In Bioinformatics, Multiple Sequence Alignment is essential. Though a substantial number of algorithms have been designed for aligning sequences, the decisive estimate of optimal multiple alignments is still a challenge. In this paper, we proposed an efficient method by using the BrainStorm optimization algorithm in order to discover optimal alignments in multiple sequence data. The experiments with the proposed algorithm perform optimal solutions when compared to the evolutionary-based Genetic algorithm.

Keywords: Brain Storm Optimization, Genetic Algorithm, Multiple Sequence Alignment

JEL Classification: C00,L15

Suggested Citation

Jeevana Jyothi, Pujari and K, Karteeka Pavan and Raiyyan, S M and Rajasekhar, T, MSA: An Application of Brain Storm Optimization Algorithm (April 29, 2020). 2nd International Conference on Communication & Information Processing (ICCIP) 2020, Available at SSRN: https://ssrn.com/abstract=3646174 or http://dx.doi.org/10.2139/ssrn.3646174

Pujari Jeevana Jyothi (Contact Author)

Vasireddy Venkatadri Institute of Technology ( email )

Nambur
Guntur, Andhra Pradesh 522508
India

Karteeka Pavan K

RVR&JC College Of Engineering ( email )

Guntur, Andhra Pradesh
India

S M Raiyyan

Vasireddy Venkatadri Institute of Technology ( email )

Nambur
Guntur, Andhra Pradesh 522508
India

T Rajasekhar

Vasireddy Venkatadri Institute of Technology ( email )

Nambur
Guntur, Andhra Pradesh 522508
India

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