A review on optimization algorithm for deep learning method in bioinformatics field

Abstract

In the past few years, deep learning has been used widely in bioinformatics area to solve common problems such as protein sequence prediction, phylogenic inferences, multiple sequence alignment and many more. It has been in the spotlight as a powerful approach which makes significant advances in taking care of the issues that haunt artificial intelligence community for many years. However, several weaknesses such as trap at local minima, lower performance and high computational time still occur in deep learning. Therefore, global optimization technique such as differential search algorithm can be used to assist deep learning method in order to get best finding result and data. This review will cover fundamental of deep learning and their involvement in bioinformatics field as well as implementation of differential search algorithm and their involvement in bioinformatics field.