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On the role of metaheuristic optimization in bioinformatics

Calvet, Laura; Benito, Sergio; Juan, Angel A; Prados, Ferran; (2022) On the role of metaheuristic optimization in bioinformatics. International Transactions in Operational Research 10.1111/itor.13164. (In press). Green open access

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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.

Type: Article
Title: On the role of metaheuristic optimization in bioinformatics
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/itor.13164
Publisher version: https://doi.org/10.1111/itor.13164
Language: English
Additional information: © 2022 The Authors. International Transactions in Operational Research published by John Wiley & Sons Ltd on behalf of International Federation of Operational Research Societies This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Keywords: metaheuristics, bioinformatics, combinatorial optimization
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10150661
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