A Survey of Metaheuristics Methods for Bioinformatics Applications

Over the past few decades, metaheuristics methods have been applied to a large variety of bioinformatic applications. There is a growing interest in applying metaheuristics methods in the analysis of gene sequence and microarray data. Therefore, this review is intend to give a survey of some of the metaheuristics methods to analysis biological data such as gene sequence analysis, molecular 3D structure prediction, microarray analysis and multiple sequence alignment. The survey is accompanied by the presentation of the main algorithms belonging to three single solution based metaheuristics and three population based methods. These are followed by different applications along with their merits for addressing some of the mentioned tasks.