On the role of metaheuristic optimization in bioinformatics
The paper discusses in more detail the molecular docking problem, the protein structure prediction, phylogenetic inference, and other optimization problems in the area of bioinformatics.
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