Skip to Main content Skip to Navigation
Conference papers

An Efficient Cooperative Method to Solve Multiple Sequence Alignment Problem

Abstract : In this research work, we propose a cooperative approach called simulated particle swarm optimization (SPSO) which is based on metaheuristics to find an approximate solution for the multiple sequence alignment (MSA) problem. The developed approach uses the particle swam optimization (PSO) algorithm to discover the search space globally and the simulated annealing (SA) technique to improve the population leader «gbest» quality in order to overcome local optimum problem. Simulation results on BaliBASE benchmarks have shown the potent of the proposed method to produce good quality alignments comparing to those given by other existing methods.
Document type :
Conference papers
Complete list of metadata

Cited literature [26 references]  Display  Hide  Download

https://hal.inria.fr/hal-01913906
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, November 7, 2018 - 10:36:24 AM
Last modification on : Thursday, November 8, 2018 - 1:19:13 PM
Long-term archiving on: : Friday, February 8, 2019 - 1:17:19 PM

File

467079_1_En_17_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Lamiche Chaabane. An Efficient Cooperative Method to Solve Multiple Sequence Alignment Problem. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.185-195, ⟨10.1007/978-3-319-89743-1_17⟩. ⟨hal-01913906⟩

Share

Metrics

Record views

78

Files downloads

27