Please use this identifier to cite or link to this item:
Title: On the role of metaheuristic optimization in bioinformatics
Author: Calvet Liñán, Laura
Fernández Benito, Sergio
Juan Pérez, Ángel Alejandro
Prados Carrasco, Ferran
Others: Universitat Oberta de Catalunya (UOC)
Universitat Politècnica de València
Keywords: metaheuristics
combinatorial optimization
Issue Date: 16-Jul-2022
Publisher: International Transactions in Operational Research
Citation: Calvet, L., Benito, S., Juan, A.A. and Prados, F. (2022), On the role of metaheuristic optimization in bioinformatics. Intl. Trans. in Op. Res..
Also see:
Abstract: 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.
Language: English
ISSN: 1475-3995MIAR
Appears in Collections:Articles
Articles cientÍfics

Files in This Item:
File Description SizeFormat 
Int Trans Operational Res - 2022 - Calvet - On the role of metaheuristic optimization in bioinformatics.pdfOn the role of metaheuristic optimization in bioinformatics829,84 kBAdobe PDFThumbnail
View statistics

Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.