On the role of metaheuristic optimization in bioinformatics

Laura Calvet*, Sergio Benito, Angel A. Juan, Ferran Prados

*Autor corresponent d’aquest treball

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9 Cites (Scopus)

Resum

Metaheuristic algorithms are employed to solve complex and large-scale optimization problems in many different fields, from transportation and smart cities to finance. This paper discusses how metaheuristic algorithms are being applied to solve different optimization problems in the area of bioinformatics. While the text provides references to many optimization problems in the area, it focuses on those that have attracted more interest from the optimization community. Among the problems analyzed, the paper discusses in more detail the molecular docking problem, the protein structure prediction, phylogenetic inference, and different string problems. In addition, references to other relevant optimization problems are also given, including those related to medical imaging or gene selection for classification. From the previous analysis, the paper generates insights on research opportunities for the Operations Research and Computer Science communities in the field of bioinformatics.

Idioma originalAnglès
Pàgines (de-a)2909-2944
Nombre de pàgines36
RevistaInternational Transactions in Operational Research
Volum30
Número6
DOIs
Estat de la publicacióPublicada - de nov. 2023

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