Bio-Inspired Algorithms for Big Data Analytics: A Survey, Taxonomy, and Open Challenges

Abstract

Presently, various governments and organizations are focusing on digitization of technical and academic documents, which overloads digital libraries. It is challenging to manage a massive amount of data (big data) with the current data processing techniques. In literature, bio-inspired algorithm-based models and architectures have been introduced by numerous industry and academic institutions to facilitate data analytics for big data. This chapter presents a systematic review of bio-inspired algorithms for big data analytics. The current status of bio-inspired algorithms is categorized into three categories: ecological, swarm-based, and evolutionary. This chapter compares the existing models..