On the role of metaheuristic optimization in bioinformatics
| Autor: | Angel A. Juan, Sergio Benito Rey, Ferran Prados Carrasco, Laura Calvet Liñán |
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| Přispěvatelé: | Universitat Oberta de Catalunya (UOC), Universitat Politècnica de València |
| Rok vydání: | 2022 |
| Předmět: |
metaheuristics
metaheurísticas Strategy and Management bioinformatics Management Science and Operations Research Computer Science Applications optimización combinatoria bioinformática optimització combinatòria Management of Technology and Innovation metaheuristiques combinatorial optimization bioinformàtica Business and International Management |
| Zdroj: | O2, repositorio institucional de la UOC Universitat Oberta de Catalunya (UOC) |
| ISSN: | 1475-3995 0969-6016 |
| DOI: | 10.1111/itor.13164 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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