Bacterial foraging optimization–genetic algorithm for multiple sequence alignment with multi-objectives

P Manikandan, D Ramyachitra - Scientific reports, 2017 - nature.com
This research work focus on the multiple sequence alignment, as develo** an exact
multiple sequence alignment for different protein sequences is a difficult computational task …

Multiple sequence alignment optimization using meta-heuristic techniques

M Issa, AE Hassanien - Data analytics in medicine: Concepts …, 2020 - igi-global.com
Sequence alignment is a vital process in many biological applications such as Phylogenetic
trees construction, DNA fragment assembly and structure/function prediction. Two kinds of …

Particle swarm optimization in bioinformatics, image processing, and computational linguistics

B Soni, S Roy, S Warsi - International Journal of Swarm Intelligence …, 2021 - igi-global.com
Since its inception, particle swarm optimization and its improvement has been an active area
of research, and the algorithm has found its application in multifarious domains such as …

A hybridization of artificial bee colony with swarming approach of bacterial foraging optimization for multiple sequence alignment

RR Rani, D Ramyachitra - Soft Computing for Biological Systems, 2018 - Springer
A key and a primary phase for performing additional successive responsibilities in
bioinformatics such as critical residue identification, conserved motif findings, phylogenetic …

Amélioration des stratégies métaheuristiques à base de population pour la résolution de problèmes de grande taille

H Deschênes - 2022 - constellation.uqac.ca
L'industrie d'aujourd'hui est constamment en quête de nouvelles méthodes pour améliorer
ses processus et ses activités. Elle a recours à la recherche opérationnelle pour répondre à …

A dynamic replicative K-means with self-compiling particle swarm intelligence for dataset classification

AMV Bharathy - … Journal of Business Intelligence and Data …, 2021 - inderscienceonline.com
The classification techniques proposed so far is not sufficiently intelligent in classifying data
set beyond two level classifications. To multi classify the data set for network data we are in …

[NAVEDBA][C] Fixed Neuro Fuzzy Classification Technique For Intrusion Detection Systems

AMV Bharathy, R Bhavani